Availability of scikit-learn model for runtime onnxruntime1#
The following metrics measure the ratio between the prediction time
for the runtime compare to scikit-learn.
It gives an order of magnitude. They are done by setting
assume_finite=True
(see config_context).
The computed ratio is:
Due to float32 conversion, it may happen than the highest difference is quite high. The proposition is usually true and but not true all the time. It is the same after number where rounded to float32, that’s why the result considers the fourth highest difference and not the first three.
Some figures are missing when the number of observations is high.
That means the prediction is slow for one of the runtime
(ONNX, scikit-learn) and it would take too long to go further.
The list of problems can be found in the documentation of
function find_suitable_problem
.
Default values are usually used to create models but other
scenarios are defined by build_custom_scenarios
and build_custom_scenarios (2)
.
The benchmark can be generated with a command line:
python -m mlprodict validate_runtime --verbose=1 --out_raw=data.csv --out_summary=summary.xlsx --benchmark=1 --dump_folder=. --runtime=onnxruntime1
The option -se 1
may be used if the process crashes. The command line
can also be extended to test only one model or to skip another one. The whole
batch takes between 5 and 15 minutes depending on the machine.
Full data: bench_sum_onnxruntime1.xlsx
…NB#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
BernoulliNB |
b-cl |
default |
OK 13/1 |
22 |
|
BernoulliNB |
m-cl |
default |
OK 13/1 |
22 |
|
BernoulliRBM |
num-tr |
default |
|||
CategoricalNB |
b-cl |
default |
ERR: 3prediction |
||
CategoricalNB |
m-cl |
default |
ERR: 3prediction |
||
CategoricalNB |
~b-cl-64 |
default |
ERR: 3prediction |
||
CategoricalNB |
~m-label |
default |
ERR: 1training_time |
||
ComplementNB |
b-cl |
default |
ERR: 1training_time |
||
ComplementNB |
m-cl |
default |
ERR: 1training_time |
||
GaussianNB |
b-cl |
default |
OK 13/1 |
19 |
|
GaussianNB |
m-cl |
default |
OK 13/1 |
19 |
|
MultinomialNB |
b-cl |
default |
ERR: 1training_time |
||
MultinomialNB |
m-cl |
default |
ERR: 1training_time |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
BernoulliRBM |
num-tr |
default |
NO CONVERTER |
||
CategoricalNB |
b-cl |
default |
ERR: 3prediction |
index 7 is out of bounds for axis 1 with size 7 |
|
CategoricalNB |
m-cl |
default |
ERR: 3prediction |
index 7 is out of bounds for axis 1 with size 7 |
|
CategoricalNB |
~b-cl-64 |
default |
ERR: 3prediction |
index 7 is out of bounds for axis 1 with size 7 |
|
CategoricalNB |
~m-label |
default |
ERR: 1training_time |
y should be a 1d array, got an array of shape (112, 3) instead. |
|
ComplementNB |
b-cl |
default |
ERR: 1training_time |
Negative values in data passed to ComplementNB (input X) |
|
ComplementNB |
m-cl |
default |
ERR: 1training_time |
Negative values in data passed to ComplementNB (input X) |
|
MultinomialNB |
b-cl |
default |
ERR: 1training_time |
Negative values in data passed to MultinomialNB (input X) |
|
MultinomialNB |
m-cl |
default |
ERR: 1training_time |
Negative values in data passed to MultinomialNB (input X) |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BernoulliNB |
b-cl |
default |
OK 13/1 |
1.0.2 |
1 |
1 |
1 |
1.8e+03 |
22 |
9 |
skl2onnx |
1.1 |
1 |
1.8e+03 |
22 |
9 |
2 |
4 |
1 |
||||||||||
BernoulliNB |
m-cl |
default |
OK 13/1 |
1.0.2 |
1 |
3 |
1 |
1.9e+03 |
22 |
9 |
skl2onnx |
1.1 |
1 |
1.9e+03 |
22 |
9 |
2 |
4 |
1 |
||||||||||
BernoulliRBM |
num-tr |
default |
1.0.2 |
1 |
|||||||||||||||||||||||||
CategoricalNB |
b-cl |
default |
ERR: 3prediction |
1.0.2 |
1 |
3 |
1 |
||||||||||||||||||||||
CategoricalNB |
m-cl |
default |
ERR: 3prediction |
1.0.2 |
1 |
4 |
1 |
||||||||||||||||||||||
CategoricalNB |
~b-cl-64 |
default |
ERR: 3prediction |
1.0.2 |
1 |
3 |
1 |
||||||||||||||||||||||
CategoricalNB |
~m-label |
default |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
||||||||||||||||||||||
ComplementNB |
b-cl |
default |
ERR: 1training_time |
1.0.2 |
|||||||||||||||||||||||||
ComplementNB |
m-cl |
default |
ERR: 1training_time |
1.0.2 |
|||||||||||||||||||||||||
GaussianNB |
b-cl |
default |
OK 13/1 |
1.0.2 |
1 |
1.8e+03 |
19 |
11 |
skl2onnx |
1.1 |
1 |
1.8e+03 |
19 |
11 |
3 |
3 |
1 |
||||||||||||
GaussianNB |
m-cl |
default |
OK 13/1 |
1.0.2 |
1 |
1.8e+03 |
19 |
11 |
skl2onnx |
1.1 |
1 |
1.8e+03 |
19 |
11 |
3 |
3 |
1 |
||||||||||||
MultinomialNB |
b-cl |
default |
ERR: 1training_time |
1.0.2 |
|||||||||||||||||||||||||
MultinomialNB |
m-cl |
default |
ERR: 1training_time |
1.0.2 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BernoulliNB |
b-cl |
default |
OK 13/1 |
1.4 |
1.5 |
1.5 |
2.2 |
3.1 |
1.3 |
1.7 |
1.4 |
2.3 |
1.4 |
1.6 |
2.1 |
2.2 |
3 |
3.1 |
|
BernoulliNB |
m-cl |
default |
OK 13/1 |
1.4 |
1.4 |
1.6 |
2.3 |
3.2 |
1.3 |
1.7 |
1.3 |
2.3 |
1.5 |
1.6 |
2.3 |
2.4 |
3.1 |
3.2 |
|
GaussianNB |
b-cl |
default |
OK 13/1 |
1.3 |
1.2 |
1.3 |
1.9 |
2.7 |
1.1 |
2.1 |
1.2 |
1.3 |
1.2 |
1.4 |
1.8 |
1.9 |
2.7 |
2.8 |
|
GaussianNB |
m-cl |
default |
OK 13/1 |
1 |
1 |
1.1 |
1.7 |
2.1 |
0.93 |
1.3 |
0.93 |
1 |
1 |
1.1 |
1.6 |
1.7 |
2.1 |
2.1 |
AdaBoost#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
AdaBoostClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
23 |
AdaBoostClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
95 |
AdaBoostClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
95 |
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
23 |
|
AdaBoostRegressor |
b-reg |
default |
OK 15/1 |
23 |
|
~b-reg-64 |
default |
ERR: 5ort_load |
23 |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
~b-reg-64 |
default |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AdaBoostClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
2 |
2.3e+03 |
23 |
8 |
skl2onnx |
1.1 |
1 |
2.3e+03 |
23 |
8 |
3 |
3 |
1 |
1 |
3 |
-1 |
||||||||
AdaBoostClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
11 |
1.2e+04 |
95 |
10 |
skl2onnx |
1.1 |
1 |
8.6e+03 |
71 |
10 |
12 |
30 |
10 |
1 |
3 |
-1 |
||||||||
AdaBoostClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
11 |
1.2e+04 |
95 |
10 |
skl2onnx |
1.1 |
1 |
8.6e+03 |
71 |
10 |
12 |
30 |
10 |
1 |
3 |
-1 |
||||||||
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
1.0.2 |
2 |
2.4e+03 |
23 |
8 |
skl2onnx |
1.1 |
1 |
2.4e+03 |
23 |
8 |
3 |
3 |
1 |
1 |
3 |
1 |
|||||||||
AdaBoostRegressor |
b-reg |
default |
OK 15/1 |
1.0.2 |
11 |
1.1e+04 |
23 |
7 |
skl2onnx |
1.1 |
1 |
1.1e+04 |
23 |
7 |
1 |
1.5e+02 |
10 |
3 |
1 |
-1 |
|||||||||
~b-reg-64 |
default |
ERR: 5ort_load |
1.0.2 |
11 |
1.3e+04 |
23 |
7 |
skl2onnx |
1.1 |
1 |
1.3e+04 |
23 |
7 |
1 |
1.5e+02 |
10 |
3 |
1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AdaBoostClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.4 |
1.4 |
1.3 |
1.1 |
0.79 |
1.2 |
1.8 |
1.3 |
2.3 |
1.2 |
1.4 |
1.1 |
1.1 |
0.78 |
0.8 |
AdaBoostClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.1 |
1.1 |
0.97 |
0.75 |
0.49 |
0.93 |
1.3 |
1 |
1.7 |
0.96 |
0.98 |
0.74 |
0.76 |
0.49 |
0.5 |
AdaBoostClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
1 |
0.91 |
0.73 |
0.49 |
0.93 |
1.2 |
0.94 |
1.6 |
0.89 |
0.92 |
0.71 |
0.74 |
0.49 |
0.5 |
AdaBoostRegressor |
b-reg |
default |
OK 15/1 |
0.55 |
0.58 |
0.62 |
0.87 |
0.83 |
0.5 |
0.71 |
0.54 |
0.96 |
0.59 |
0.66 |
0.86 |
0.88 |
0.82 |
0.83 |
AdditiveChi2Sampler#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
AdditiveChi2Sampler |
num-tr |
default |
ERR: 1training_time |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
AdditiveChi2Sampler |
num-tr |
default |
ERR: 1training_time |
Negative values in data passed to X in AdditiveChi2Sampler.fit |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AdditiveChi2Sampler |
num-tr |
default |
ERR: 1training_time |
1.0.2 |
AffinityPropagation#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
AffinityPropagation |
cluster |
default |
|||
AffinityPropagation |
~b-clu-64 |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
AffinityPropagation |
cluster |
default |
NO CONVERTER |
||
AffinityPropagation |
~b-clu-64 |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
AffinityPropagation |
cluster |
default |
1.0.2 |
1 |
|||||||||||||||||||||||||
AffinityPropagation |
~b-clu-64 |
default |
1.0.2 |
1 |
Bagging#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
BaggingClassifier |
b-cl |
default |
OK 15/1 |
29 |
|
BaggingClassifier |
m-cl |
default |
OK 15/1 |
29 |
|
BaggingRegressor |
b-reg |
default |
OK 15/1 |
22 |
|
BaggingRegressor |
m-reg |
default |
OK 15/1 |
22 |
|
~b-reg-64 |
default |
ERR: 5ort_load |
22 |
||
~m-reg-64 |
default |
ERR: 5ort_load |
22 |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
~b-reg-64 |
default |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
||
~m-reg-64 |
default |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BaggingClassifier |
b-cl |
default |
OK 15/1 |
1.0.2 |
11 |
7.1e+03 |
29 |
3 |
skl2onnx |
1.1 |
1 |
5.9e+03 |
25 |
3 |
11 |
30 |
10 |
1 |
3 |
1 |
|||||||||
BaggingClassifier |
m-cl |
default |
OK 15/1 |
1.0.2 |
11 |
1.4e+04 |
29 |
3 |
skl2onnx |
1.1 |
1 |
1.4e+04 |
29 |
3 |
11 |
1.6e+02 |
10 |
6 |
3 |
1 |
|||||||||
BaggingRegressor |
b-reg |
default |
OK 15/1 |
1.0.2 |
11 |
5.6e+04 |
22 |
1 |
skl2onnx |
1.1 |
1 |
5.6e+04 |
22 |
1 |
10 |
1.4e+03 |
10 |
14 |
-1 |
||||||||||
BaggingRegressor |
m-reg |
default |
OK 15/1 |
1.0.2 |
11 |
6.4e+04 |
22 |
1 |
skl2onnx |
1.1 |
1 |
6.4e+04 |
22 |
1 |
10 |
1.4e+03 |
10 |
14 |
-1 |
||||||||||
~b-reg-64 |
default |
ERR: 5ort_load |
1.0.2 |
11 |
6.8e+04 |
22 |
1 |
skl2onnx |
1.1 |
-1 |
6.8e+04 |
22 |
1 |
10 |
1.4e+03 |
10 |
14 |
1 |
|||||||||||
~m-reg-64 |
default |
ERR: 5ort_load |
1.0.2 |
11 |
7.8e+04 |
22 |
1 |
skl2onnx |
1.1 |
-1 |
7.8e+04 |
22 |
1 |
10 |
1.4e+03 |
10 |
14 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BaggingClassifier |
b-cl |
default |
OK 15/1 |
0.034 |
0.035 |
0.038 |
0.064 |
0.35 |
0.032 |
0.042 |
0.033 |
0.053 |
0.037 |
0.039 |
0.064 |
0.065 |
0.32 |
0.37 |
|
BaggingClassifier |
m-cl |
default |
OK 15/1 |
0.033 |
0.034 |
0.039 |
0.076 |
0.44 |
0.03 |
0.04 |
0.03 |
0.053 |
0.038 |
0.041 |
0.075 |
0.079 |
0.42 |
0.46 |
|
BaggingRegressor |
b-reg |
default |
OK 15/1 |
0.03 |
0.031 |
0.032 |
0.037 |
0.071 |
0.027 |
0.038 |
0.029 |
0.05 |
0.031 |
0.033 |
0.036 |
0.037 |
0.069 |
0.072 |
|
BaggingRegressor |
m-reg |
default |
OK 15/1 |
0.029 |
0.031 |
0.031 |
0.037 |
0.094 |
0.026 |
0.038 |
0.028 |
0.051 |
0.03 |
0.032 |
0.037 |
0.038 |
0.091 |
0.098 |
Bayesian…#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
BayesianGaussianMixture |
mix |
default |
OK 14/ |
12 |
|
BayesianGaussianMixture |
~mix-64 |
default |
-1 |
||
BayesianGaussianMixture |
~mix-64 |
default |
OK 14/ |
12 |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
BayesianGaussianMixture |
~mix-64 |
default |
‘<’ not supported between instances of ‘dict’ and ‘int’ |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BayesianGaussianMixture |
mix |
default |
OK 14/ |
1.0.2 |
1 |
1.1e+03 |
12 |
7 |
skl2onnx |
1.1 |
1.1e+03 |
12 |
7 |
||||||||||||||||
BayesianGaussianMixture |
~mix-64 |
default |
1.0.2 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||||||||
BayesianGaussianMixture |
~mix-64 |
default |
OK 14/ |
1.0.2 |
1 |
1.2e+03 |
12 |
7 |
skl2onnx |
1.1 |
1.2e+03 |
12 |
7 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
BayesianGaussianMixture |
mix |
default |
OK 14/ |
0.71 |
0.75 |
0.75 |
0.95 |
1.5 |
0.64 |
0.85 |
0.7 |
1.3 |
0.7 |
0.77 |
0.93 |
0.97 |
1.4 |
1.5 |
|
BayesianGaussianMixture |
~mix-64 |
default |
OK 14/ |
0.75 |
0.74 |
0.74 |
1 |
1.6 |
0.65 |
1.5 |
0.66 |
1.2 |
0.68 |
0.8 |
0.97 |
1 |
1.6 |
1.6 |
Binarizer#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
Binarizer |
num-tr |
default |
OK 15/1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Binarizer |
num-tr |
default |
OK 15/1 |
1.0.2 |
1 |
2e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2e+02 |
1 |
0 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Binarizer |
num-tr |
default |
OK 15/1 |
0.5 |
0.52 |
0.51 |
0.52 |
0.6 |
0.46 |
0.58 |
0.48 |
0.75 |
0.47 |
0.56 |
0.48 |
0.56 |
0.54 |
0.67 |
Birch#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
Birch |
cluster |
default |
|||
Birch |
~b-clu-64 |
default |
|||
Birch |
~num-tr-clu |
default |
|||
Birch |
~num-tr-clu-64 |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
Birch |
cluster |
default |
NO CONVERTER |
||
Birch |
~b-clu-64 |
default |
NO CONVERTER |
||
Birch |
~num-tr-clu |
default |
NO CONVERTER |
||
Birch |
~num-tr-clu-64 |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Birch |
cluster |
default |
1.0.2 |
1 |
|||||||||||||||||||||||||
Birch |
~b-clu-64 |
default |
1.0.2 |
1 |
|||||||||||||||||||||||||
Birch |
~num-tr-clu |
default |
1.0.2 |
1 |
|||||||||||||||||||||||||
Birch |
~num-tr-clu-64 |
default |
1.0.2 |
1 |
Booster#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
Booster |
ERR: 0problem |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
Booster |
ERR: 0problem |
NO PROBLEM |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Booster |
ERR: 0problem |
1.0.2 |
CCA#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
CCA |
b-reg |
default |
|||
CCA |
m-reg |
default |
|||
CCA |
num+y-tr |
default |
|||
CCA |
~b-reg-64 |
default |
|||
CCA |
~m-reg-64 |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
CCA |
b-reg |
default |
NO CONVERTER |
||
CCA |
m-reg |
default |
NO CONVERTER |
||
CCA |
num+y-tr |
default |
NO CONVERTER |
||
CCA |
~b-reg-64 |
default |
NO CONVERTER |
||
CCA |
~m-reg-64 |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
CCA |
b-reg |
default |
1.0.2 |
1 |
4 |
1 |
|||||||||||||||||||||||
CCA |
m-reg |
default |
1.0.2 |
1 |
4 |
1 |
|||||||||||||||||||||||
CCA |
num+y-tr |
default |
1.0.2 |
1 |
4 |
1 |
|||||||||||||||||||||||
CCA |
~b-reg-64 |
default |
1.0.2 |
1 |
4 |
1 |
|||||||||||||||||||||||
CCA |
~m-reg-64 |
default |
1.0.2 |
1 |
4 |
1 |
Calibrated#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
CalibratedClassifierCV |
b-cl |
default |
OK 15/1 |
53 |
|
CalibratedClassifierCV |
b-cl |
sgd |
OK 15/1 |
88 |
|
CalibratedClassifierCV |
m-cl |
default |
OK 15/1 |
1.5e+02 |
|
CalibratedClassifierCV |
m-cl |
sgd |
OK 15/1 |
1.7e+02 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
CalibratedClassifierCV |
b-cl |
default |
OK 15/1 |
1.0.2 |
1 |
4.6e+03 |
53 |
15 |
skl2onnx |
1.1 |
1 |
4.6e+03 |
53 |
15 |
1 |
2 |
1 |
||||||||||||
CalibratedClassifierCV |
b-cl |
sgd |
OK 15/1 |
1.0.2 |
1 |
6.4e+03 |
88 |
26 |
skl2onnx |
1.1 |
1 |
4.8e+03 |
68 |
26 |
6 |
7 |
1 |
||||||||||||
CalibratedClassifierCV |
m-cl |
default |
OK 15/1 |
1.0.2 |
1 |
1.1e+04 |
1.5e+02 |
39 |
skl2onnx |
1.1 |
1 |
1.1e+04 |
1.5e+02 |
39 |
1 |
12 |
1 |
||||||||||||
CalibratedClassifierCV |
m-cl |
sgd |
OK 15/1 |
1.0.2 |
1 |
1.2e+04 |
1.7e+02 |
49 |
skl2onnx |
1.1 |
1 |
1e+04 |
1.5e+02 |
49 |
6 |
17 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
CalibratedClassifierCV |
b-cl |
default |
OK 15/1 |
0.71 |
0.73 |
0.79 |
1.3 |
3.1 |
0.65 |
0.84 |
0.66 |
1.2 |
0.76 |
0.8 |
1.3 |
1.3 |
3 |
3.1 |
|
CalibratedClassifierCV |
b-cl |
sgd |
OK 15/1 |
1.1 |
1.1 |
1.4 |
1.7 |
3.8 |
1.1 |
1.4 |
1.1 |
1.1 |
1.2 |
3.2 |
1.6 |
1.7 |
3.7 |
3.8 |
|
CalibratedClassifierCV |
m-cl |
default |
OK 15/1 |
1.5 |
1.4 |
1.5 |
1.8 |
2.7 |
1.3 |
2 |
1.4 |
1.5 |
1.5 |
1.5 |
1.8 |
1.8 |
2.7 |
2.7 |
|
CalibratedClassifierCV |
m-cl |
sgd |
OK 15/1 |
1.7 |
1.6 |
2 |
1.9 |
2.7 |
1.5 |
2.1 |
1.5 |
1.7 |
1.6 |
5.4 |
1.9 |
1.9 |
2.7 |
2.7 |
ClassifierChain#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
ClassifierChain |
b-cl |
logreg |
ERR: 1training_time |
||
ClassifierChain |
m-cl |
logreg |
ERR: 1training_time |
||
ClassifierChain |
~b-cl-64 |
logreg |
ERR: 1training_time |
||
ClassifierChain |
~m-label |
logreg |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
ClassifierChain |
b-cl |
logreg |
ERR: 1training_time |
tuple index out of range |
|
ClassifierChain |
m-cl |
logreg |
ERR: 1training_time |
tuple index out of range |
|
ClassifierChain |
~b-cl-64 |
logreg |
ERR: 1training_time |
tuple index out of range |
|
ClassifierChain |
~m-label |
logreg |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ClassifierChain |
b-cl |
logreg |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
||||||||||||||||||||||
ClassifierChain |
m-cl |
logreg |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
||||||||||||||||||||||
ClassifierChain |
~b-cl-64 |
logreg |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
||||||||||||||||||||||
ClassifierChain |
~m-label |
logreg |
1.0.2 |
4 |
3 |
3 |
CountVectorizer#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
CountVectorizer |
text-col |
default |
OK 14/ |
6 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
CountVectorizer |
text-col |
default |
OK 14/ |
1.0.2 |
1 |
1e+03 |
6 |
1 |
skl2onnx |
1.1 |
1e+03 |
5 |
1 |
1 |
1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
CountVectorizer |
text-col |
default |
OK 14/ |
1 |
0.73 |
0.29 |
0.19 |
0.18 |
0.96 |
1.3 |
0.68 |
1.1 |
0.29 |
0.3 |
0.19 |
0.19 |
0.18 |
0.18 |
DictVectorizer#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
DictVectorizer |
key-int-col |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
DictVectorizer |
key-int-col |
default |
Unsupported data_type ‘DictionaryType(key_type=StringTensorType(shape=[1]),… |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
DictVectorizer |
key-int-col |
default |
1.0.2 |
1 |
DictionaryLearning#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
DictionaryLearning |
num-tr |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
DictionaryLearning |
num-tr |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
DictionaryLearning |
num-tr |
default |
1.0.2 |
1 |
EllipticEnvelope#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
EllipticEnvelope |
outlier |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
EllipticEnvelope |
outlier |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
EllipticEnvelope |
outlier |
default |
1.0.2 |
1 |
FactorAnalysis#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
FactorAnalysis |
num-tr |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
FactorAnalysis |
num-tr |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
FactorAnalysis |
num-tr |
default |
1.0.2 |
1 |
FastICA#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
FastICA |
num-tr |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
FastICA |
num-tr |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
FastICA |
num-tr |
default |
1.0.2 |
1 |
Feature…#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
FeatureHasher |
key-str-col |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
FeatureHasher |
key-str-col |
default |
Unsupported data_type ‘DictionaryType(key_type=StringTensorType(shape=[1]),… |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
FeatureHasher |
key-str-col |
default |
1.0.2 |
1 |
FunctionTransformer#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
FunctionTransformer |
num-tr |
default |
OK 14/ |
1 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
FunctionTransformer |
num-tr |
default |
OK 14/ |
1.0.2 |
1 |
1.6e+02 |
1 |
0 |
skl2onnx |
1.1 |
1.6e+02 |
1 |
0 |
1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
FunctionTransformer |
num-tr |
default |
OK 14/ |
25 |
26 |
23 |
24 |
34 |
14 |
31 |
20 |
40 |
20 |
26 |
21 |
27 |
28 |
40 |
Gamma#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
GammaRegressor |
b-reg |
default |
ERR: 1training_time |
||
GammaRegressor |
m-reg |
default |
ERR: 1training_time |
||
GammaRegressor |
~b-reg-64 |
default |
ERR: 1training_time |
||
GammaRegressor |
~m-reg-64 |
default |
ERR: 1training_time |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
GammaRegressor |
b-reg |
default |
ERR: 1training_time |
Some value(s) of y are out of the valid range for family GammaDistribution |
|
GammaRegressor |
m-reg |
default |
ERR: 1training_time |
y should be a 1d array, got an array of shape (112, 2) instead. |
|
GammaRegressor |
~b-reg-64 |
default |
ERR: 1training_time |
Some value(s) of y are out of the valid range for family GammaDistribution |
|
GammaRegressor |
~m-reg-64 |
default |
ERR: 1training_time |
y should be a 1d array, got an array of shape (112, 2) instead. |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
GammaRegressor |
b-reg |
default |
ERR: 1training_time |
1.0.2 |
|||||||||||||||||||||||||
GammaRegressor |
m-reg |
default |
ERR: 1training_time |
1.0.2 |
|||||||||||||||||||||||||
GammaRegressor |
~b-reg-64 |
default |
ERR: 1training_time |
1.0.2 |
|||||||||||||||||||||||||
GammaRegressor |
~m-reg-64 |
default |
ERR: 1training_time |
1.0.2 |
GaussianMixture#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
GaussianMixture |
mix |
default |
OK 14/ |
11 |
|
GaussianMixture |
~mix-64 |
default |
-1 |
||
GaussianMixture |
~mix-64 |
default |
OK 14/ |
11 |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
GaussianMixture |
~mix-64 |
default |
‘<’ not supported between instances of ‘dict’ and ‘int’ |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
GaussianMixture |
mix |
default |
OK 14/ |
1.0.2 |
1 |
9.9e+02 |
11 |
6 |
skl2onnx |
1.1 |
9.9e+02 |
11 |
6 |
||||||||||||||||
GaussianMixture |
~mix-64 |
default |
1.0.2 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||||||||
GaussianMixture |
~mix-64 |
default |
OK 14/ |
1.0.2 |
1 |
1.1e+03 |
11 |
6 |
skl2onnx |
1.1 |
1.1e+03 |
11 |
6 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
GaussianMixture |
mix |
default |
OK 14/ |
0.99 |
1 |
1.2 |
1.1 |
1.2 |
0.89 |
1.3 |
0.96 |
1 |
0.94 |
3 |
1.1 |
1.1 |
1.2 |
1.2 |
|
GaussianMixture |
~mix-64 |
default |
OK 14/ |
1 |
0.99 |
1.1 |
1.1 |
1.3 |
0.88 |
1.8 |
0.93 |
1 |
0.9 |
2.6 |
1.1 |
1.2 |
1.3 |
1.3 |
GaussianProcess#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
b-cl |
dotproduct |
cdist |
ERR: 5ort_load |
43 |
|
b-cl |
dotproduct |
cdist |
ERR: 5ort_load |
43 |
|
GaussianProcessClassifier |
b-cl |
expsine |
ERR: 1training_time |
-1 |
|
b-cl |
rational |
cdist |
ERR: 5ort_load |
46 |
|
b-cl |
rbf |
cdist |
ERR: 5ort_load |
57 |
|
b-cl |
rbf |
cdist |
ERR: 5ort_load |
57 |
|
GaussianProcessClassifier |
m-cl |
dotproduct |
-1 |
||
GaussianProcessClassifier |
m-cl |
expsine |
ERR: 1training_time |
-1 |
|
GaussianProcessClassifier |
m-cl |
rational |
-1 |
||
GaussianProcessClassifier |
m-cl |
rbf |
-1 |
||
~b-cl-64 |
dotproduct |
cdist |
ERR: 5ort_load |
43 |
|
~b-cl-64 |
dotproduct |
cdist |
ERR: 5ort_load |
43 |
|
GaussianProcessClassifier |
~b-cl-64 |
expsine |
ERR: 1training_time |
-1 |
|
~b-cl-64 |
rational |
cdist |
ERR: 5ort_load |
46 |
|
~b-cl-64 |
rational |
cdist |
ERR: 5ort_load |
46 |
|
~b-cl-64 |
rbf |
cdist |
ERR: 5ort_load |
57 |
|
~b-cl-64 |
rbf |
cdist |
ERR: 5ort_load |
57 |
|
GaussianProcessRegressor |
b-reg |
dotproduct |
OK 15/ |
5 |
|
GaussianProcessRegressor |
b-reg |
dotproduct |
cdist |
OK 15/ |
5 |
GaussianProcessRegressor |
b-reg |
expsine |
cdist |
OK 15/ |
11 |
GaussianProcessRegressor |
b-reg |
rational |
cdist |
OK 15/ |
7 |
GaussianProcessRegressor |
b-reg |
rbf |
cdist |
OK 15/ |
18 |
GaussianProcessRegressor |
~b-reg-64 |
dotproduct |
OK 15/ |
5 |
|
GaussianProcessRegressor |
~b-reg-64 |
dotproduct |
cdist |
OK 15/ |
5 |
GaussianProcessRegressor |
~b-reg-64 |
expsine |
cdist |
OK 15/ |
11 |
GaussianProcessRegressor |
~b-reg-64 |
rational |
cdist |
OK 15/ |
7 |
GaussianProcessRegressor |
~b-reg-64 |
rbf |
cdist |
OK 15/ |
18 |
GaussianProcessRegressor |
~b-reg-NF-64 |
dotproduct |
OK 15/ |
3 |
|
GaussianProcessRegressor |
~b-reg-NF-64 |
dotproduct |
cdist |
OK 15/ |
3 |
GaussianProcessRegressor |
~b-reg-NF-64 |
expsine |
cdist |
OK 15/ |
3 |
GaussianProcessRegressor |
~b-reg-NF-64 |
rational |
cdist |
OK 15/ |
3 |
GaussianProcessRegressor |
~b-reg-NF-64 |
rbf |
cdist |
OK 15/ |
3 |
~b-reg-NF-cov-64 |
dotproduct |
ERR: 5ort_load |
7 |
||
~b-reg-NF-cov-64 |
dotproduct |
cdist |
ERR: 5ort_load |
7 |
|
GaussianProcessRegressor |
~b-reg-NF-cov-64 |
expsine |
cdist |
OK 15/ |
18 |
GaussianProcessRegressor |
~b-reg-NF-cov-64 |
rational |
cdist |
OK 15/ |
13 |
GaussianProcessRegressor |
~b-reg-NF-cov-64 |
rbf |
cdist |
OK 15/ |
20 |
GaussianProcessRegressor |
~b-reg-NF-cov-64 |
rbf |
cdist |
OK 15/ |
20 |
GaussianProcessRegressor |
~b-reg-NF-std-64 |
dotproduct |
OK 15/ |
7 |
|
GaussianProcessRegressor |
~b-reg-NF-std-64 |
dotproduct |
cdist |
OK 15/ |
7 |
GaussianProcessRegressor |
~b-reg-NF-std-64 |
expsine |
cdist |
OK 15/ |
8 |
GaussianProcessRegressor |
~b-reg-NF-std-64 |
rational |
cdist |
OK 15/ |
8 |
GaussianProcessRegressor |
~b-reg-NF-std-64 |
rational |
cdist |
OK 15/ |
8 |
GaussianProcessRegressor |
~b-reg-NF-std-64 |
rbf |
cdist |
OK 15/ |
8 |
GaussianProcessRegressor |
~b-reg-NF-std-64 |
rbf |
cdist |
OK 15/ |
8 |
GaussianProcessRegressor |
~b-reg-NSV-64 |
dotproduct |
OK 15/ |
5 |
|
GaussianProcessRegressor |
~b-reg-NSV-64 |
dotproduct |
cdist |
OK 15/ |
5 |
GaussianProcessRegressor |
~b-reg-NSV-64 |
expsine |
cdist |
OK 15/ |
11 |
GaussianProcessRegressor |
~b-reg-NSV-64 |
rational |
cdist |
OK 15/ |
7 |
GaussianProcessRegressor |
~b-reg-NSV-64 |
rbf |
cdist |
OK 15/ |
18 |
GaussianProcessRegressor |
~b-reg-NSV-64 |
rbf |
cdist |
OK 15/ |
18 |
GaussianProcessRegressor |
~b-reg-cov-64 |
dotproduct |
-1 |
||
GaussianProcessRegressor |
~b-reg-cov-64 |
dotproduct |
-1 |
||
GaussianProcessRegressor |
~b-reg-cov-64 |
expsine |
-1 |
||
GaussianProcessRegressor |
~b-reg-cov-64 |
rational |
-1 |
||
GaussianProcessRegressor |
~b-reg-cov-64 |
rbf |
-1 |
||
GaussianProcessRegressor |
~b-reg-std-NSV-64 |
dotproduct |
OK 15/ |
14 |
|
GaussianProcessRegressor |
~b-reg-std-NSV-64 |
dotproduct |
cdist |
OK 15/ |
14 |
GaussianProcessRegressor |
~b-reg-std-NSV-64 |
expsine |
cdist |
OK 15/ |
21 |
GaussianProcessRegressor |
~b-reg-std-NSV-64 |
rational |
cdist |
OK 15/ |
17 |
GaussianProcessRegressor |
~b-reg-std-NSV-64 |
rbf |
cdist |
OK 15/ |
28 |
GaussianProcessRegressor |
~b-reg-std-NSV-64 |
rbf |
cdist |
OK 15/ |
28 |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
b-cl |
dotproduct |
cdist |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
b-cl |
dotproduct |
cdist |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
GaussianProcessClassifier |
b-cl |
expsine |
ERR: 1training_time |
35-th leading minor of the array is not positive definite |
|
b-cl |
rational |
cdist |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
b-cl |
rbf |
cdist |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
b-cl |
rbf |
cdist |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
GaussianProcessClassifier |
m-cl |
dotproduct |
Only binary classification is iplemented. |
||
GaussianProcessClassifier |
m-cl |
expsine |
ERR: 1training_time |
35-th leading minor of the array is not positive definite |
|
GaussianProcessClassifier |
m-cl |
rational |
Only binary classification is iplemented. |
||
GaussianProcessClassifier |
m-cl |
rbf |
Only binary classification is iplemented. |
||
~b-cl-64 |
dotproduct |
cdist |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
~b-cl-64 |
dotproduct |
cdist |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
GaussianProcessClassifier |
~b-cl-64 |
expsine |
ERR: 1training_time |
35-th leading minor of the array is not positive definite |
|
~b-cl-64 |
rational |
cdist |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
~b-cl-64 |
rational |
cdist |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
~b-cl-64 |
rbf |
cdist |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
~b-cl-64 |
rbf |
cdist |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
~b-reg-NF-cov-64 |
dotproduct |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 9 : NOT_IMPL… |
||
~b-reg-NF-cov-64 |
dotproduct |
cdist |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 9 : NOT_IMPL… |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b-cl |
dotproduct |
cdist |
ERR: 5ort_load |
1.0.2 |
1 |
5.6e+04 |
43 |
17 |
skl2onnx |
1.1 |
1 |
5.6e+04 |
42 |
17 |
2 |
2 |
1 |
1 |
|||||||||||
b-cl |
dotproduct |
cdist |
ERR: 5ort_load |
1.0.2 |
1 |
5.6e+04 |
43 |
17 |
skl2onnx |
1.1 |
1 |
5.6e+04 |
42 |
17 |
2 |
2 |
1 |
1 |
|||||||||||
GaussianProcessClassifier |
b-cl |
expsine |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||
b-cl |
rational |
cdist |
ERR: 5ort_load |
1.0.2 |
1 |
5.7e+04 |
46 |
18 |
skl2onnx |
1.1 |
1 |
5.7e+04 |
45 |
18 |
2 |
2 |
1 |
1 |
|||||||||||
b-cl |
rbf |
cdist |
ERR: 5ort_load |
1.0.2 |
1 |
5.7e+04 |
57 |
16 |
skl2onnx |
1.1 |
1 |
5.7e+04 |
52 |
16 |
2 |
2 |
1 |
1 |
|||||||||||
b-cl |
rbf |
cdist |
ERR: 5ort_load |
1.0.2 |
1 |
5.7e+04 |
57 |
16 |
skl2onnx |
1.1 |
1 |
5.7e+04 |
52 |
16 |
2 |
2 |
1 |
1 |
|||||||||||
GaussianProcessClassifier |
m-cl |
dotproduct |
1.0.2 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
||||||||||||||
GaussianProcessClassifier |
m-cl |
expsine |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||
GaussianProcessClassifier |
m-cl |
rational |
1.0.2 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
||||||||||||||
GaussianProcessClassifier |
m-cl |
rbf |
1.0.2 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
||||||||||||||
~b-cl-64 |
dotproduct |
cdist |
ERR: 5ort_load |
1.0.2 |
1 |
1.1e+05 |
43 |
17 |
skl2onnx |
1.1 |
1 |
1.1e+05 |
42 |
17 |
2 |
2 |
1 |
1 |
|||||||||||
~b-cl-64 |
dotproduct |
cdist |
ERR: 5ort_load |
1.0.2 |
1 |
1.1e+05 |
43 |
17 |
skl2onnx |
1.1 |
1 |
1.1e+05 |
42 |
17 |
2 |
2 |
1 |
1 |
|||||||||||
GaussianProcessClassifier |
~b-cl-64 |
expsine |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||
~b-cl-64 |
rational |
cdist |
ERR: 5ort_load |
1.0.2 |
1 |
1.1e+05 |
46 |
18 |
skl2onnx |
1.1 |
1 |
1.1e+05 |
45 |
18 |
2 |
2 |
1 |
1 |
|||||||||||
~b-cl-64 |
rational |
cdist |
ERR: 5ort_load |
1.0.2 |
1 |
1.1e+05 |
46 |
18 |
skl2onnx |
1.1 |
1 |
1.1e+05 |
45 |
18 |
2 |
2 |
1 |
1 |
|||||||||||
~b-cl-64 |
rbf |
cdist |
ERR: 5ort_load |
1.0.2 |
1 |
1.1e+05 |
57 |
16 |
skl2onnx |
1.1 |
1 |
1.1e+05 |
52 |
16 |
2 |
2 |
1 |
1 |
|||||||||||
~b-cl-64 |
rbf |
cdist |
ERR: 5ort_load |
1.0.2 |
1 |
1.1e+05 |
57 |
16 |
skl2onnx |
1.1 |
1 |
1.1e+05 |
52 |
16 |
2 |
2 |
1 |
1 |
|||||||||||
GaussianProcessRegressor |
b-reg |
dotproduct |
OK 15/ |
1.0.2 |
1 |
2.8e+03 |
5 |
5 |
skl2onnx |
1.1 |
2.8e+03 |
5 |
5 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
||||||||||
GaussianProcessRegressor |
b-reg |
dotproduct |
cdist |
OK 15/ |
1.0.2 |
1 |
2.8e+03 |
5 |
5 |
skl2onnx |
1.1 |
2.8e+03 |
5 |
5 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
b-reg |
expsine |
cdist |
OK 15/ |
1.0.2 |
1 |
3.2e+03 |
11 |
9 |
skl2onnx |
1.1 |
3.2e+03 |
11 |
9 |
1 |
1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
b-reg |
rational |
cdist |
OK 15/ |
1.0.2 |
1 |
3e+03 |
7 |
7 |
skl2onnx |
1.1 |
3e+03 |
7 |
7 |
1 |
1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
b-reg |
rbf |
cdist |
OK 15/ |
1.0.2 |
1 |
3.7e+03 |
18 |
6 |
skl2onnx |
1.1 |
3.6e+03 |
16 |
6 |
1 |
1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-64 |
dotproduct |
OK 15/ |
1.0.2 |
1 |
5e+03 |
5 |
5 |
skl2onnx |
1.1 |
5e+03 |
5 |
5 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
||||||||||
GaussianProcessRegressor |
~b-reg-64 |
dotproduct |
cdist |
OK 15/ |
1.0.2 |
1 |
5e+03 |
5 |
5 |
skl2onnx |
1.1 |
5e+03 |
5 |
5 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-64 |
expsine |
cdist |
OK 15/ |
1.0.2 |
1 |
5.5e+03 |
11 |
9 |
skl2onnx |
1.1 |
5.5e+03 |
11 |
9 |
1 |
1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-64 |
rational |
cdist |
OK 15/ |
1.0.2 |
1 |
5.2e+03 |
7 |
7 |
skl2onnx |
1.1 |
5.2e+03 |
7 |
7 |
1 |
1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-64 |
rbf |
cdist |
OK 15/ |
1.0.2 |
1 |
6.1e+03 |
18 |
6 |
skl2onnx |
1.1 |
5.9e+03 |
16 |
6 |
1 |
1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-NF-64 |
dotproduct |
OK 15/ |
1.0.2 |
-1 |
3.6e+02 |
3 |
1 |
skl2onnx |
1.1 |
3.6e+02 |
3 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
||||||||||
GaussianProcessRegressor |
~b-reg-NF-64 |
dotproduct |
cdist |
OK 15/ |
1.0.2 |
-1 |
3.6e+02 |
3 |
1 |
skl2onnx |
1.1 |
3.6e+02 |
3 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-NF-64 |
expsine |
cdist |
OK 15/ |
1.0.2 |
-1 |
3.6e+02 |
3 |
1 |
skl2onnx |
1.1 |
3.6e+02 |
3 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-NF-64 |
rational |
cdist |
OK 15/ |
1.0.2 |
-1 |
3.6e+02 |
3 |
1 |
skl2onnx |
1.1 |
3.6e+02 |
3 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-NF-64 |
rbf |
cdist |
OK 15/ |
1.0.2 |
-1 |
3.6e+02 |
3 |
1 |
skl2onnx |
1.1 |
3.6e+02 |
3 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
~b-reg-NF-cov-64 |
dotproduct |
ERR: 5ort_load |
1.0.2 |
-1 |
6e+02 |
7 |
2 |
skl2onnx |
1.1 |
5.6e+02 |
6 |
2 |
-1 |
-1 |
1 |
-1 |
-1 |
-1 |
|||||||||||
~b-reg-NF-cov-64 |
dotproduct |
cdist |
ERR: 5ort_load |
1.0.2 |
-1 |
6e+02 |
7 |
2 |
skl2onnx |
1.1 |
5.6e+02 |
6 |
2 |
-1 |
-1 |
1 |
-1 |
-1 |
-1 |
||||||||||
GaussianProcessRegressor |
~b-reg-NF-cov-64 |
expsine |
cdist |
OK 15/ |
1.0.2 |
-1 |
1.4e+03 |
18 |
5 |
skl2onnx |
1.1 |
1.3e+03 |
16 |
5 |
-1 |
-1 |
3 |
1 |
1 |
1 |
|||||||||
GaussianProcessRegressor |
~b-reg-NF-cov-64 |
rational |
cdist |
OK 15/ |
1.0.2 |
-1 |
1.2e+03 |
13 |
4 |
skl2onnx |
1.1 |
1.1e+03 |
11 |
4 |
-1 |
-1 |
3 |
1 |
1 |
1 |
|||||||||
GaussianProcessRegressor |
~b-reg-NF-cov-64 |
rbf |
cdist |
OK 15/ |
1.0.2 |
-1 |
1.7e+03 |
20 |
2 |
skl2onnx |
1.1 |
1.3e+03 |
15 |
2 |
-1 |
-1 |
1 |
1 |
1 |
1 |
|||||||||
GaussianProcessRegressor |
~b-reg-NF-cov-64 |
rbf |
cdist |
OK 15/ |
1.0.2 |
-1 |
1.7e+03 |
20 |
2 |
skl2onnx |
1.1 |
1.3e+03 |
15 |
2 |
-1 |
-1 |
1 |
1 |
1 |
1 |
|||||||||
GaussianProcessRegressor |
~b-reg-NF-std-64 |
dotproduct |
OK 15/ |
1.0.2 |
-1 |
6.3e+02 |
7 |
2 |
skl2onnx |
1.1 |
6.3e+02 |
7 |
2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
||||||||||
GaussianProcessRegressor |
~b-reg-NF-std-64 |
dotproduct |
cdist |
OK 15/ |
1.0.2 |
-1 |
6.3e+02 |
7 |
2 |
skl2onnx |
1.1 |
6.3e+02 |
7 |
2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-NF-std-64 |
expsine |
cdist |
OK 15/ |
1.0.2 |
-1 |
7.1e+02 |
8 |
2 |
skl2onnx |
1.1 |
5.9e+02 |
6 |
2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-NF-std-64 |
rational |
cdist |
OK 15/ |
1.0.2 |
-1 |
7.1e+02 |
8 |
2 |
skl2onnx |
1.1 |
5.8e+02 |
6 |
2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-NF-std-64 |
rational |
cdist |
OK 15/ |
1.0.2 |
-1 |
7.1e+02 |
8 |
2 |
skl2onnx |
1.1 |
5.8e+02 |
6 |
2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-NF-std-64 |
rbf |
cdist |
OK 15/ |
1.0.2 |
-1 |
7.1e+02 |
8 |
2 |
skl2onnx |
1.1 |
5.8e+02 |
6 |
2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-NF-std-64 |
rbf |
cdist |
OK 15/ |
1.0.2 |
-1 |
7.1e+02 |
8 |
2 |
skl2onnx |
1.1 |
5.9e+02 |
6 |
2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-NSV-64 |
dotproduct |
OK 15/ |
1.0.2 |
1 |
5e+03 |
5 |
5 |
skl2onnx |
1.1 |
5e+03 |
5 |
5 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
||||||||||
GaussianProcessRegressor |
~b-reg-NSV-64 |
dotproduct |
cdist |
OK 15/ |
1.0.2 |
1 |
5e+03 |
5 |
5 |
skl2onnx |
1.1 |
5e+03 |
5 |
5 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-NSV-64 |
expsine |
cdist |
OK 15/ |
1.0.2 |
1 |
5.5e+03 |
11 |
9 |
skl2onnx |
1.1 |
5.5e+03 |
11 |
9 |
1 |
1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-NSV-64 |
rational |
cdist |
OK 15/ |
1.0.2 |
1 |
5.2e+03 |
7 |
7 |
skl2onnx |
1.1 |
5.2e+03 |
7 |
7 |
1 |
1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-NSV-64 |
rbf |
cdist |
OK 15/ |
1.0.2 |
1 |
6.1e+03 |
18 |
6 |
skl2onnx |
1.1 |
5.9e+03 |
16 |
6 |
1 |
1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-NSV-64 |
rbf |
cdist |
OK 15/ |
1.0.2 |
1 |
6.1e+03 |
18 |
6 |
skl2onnx |
1.1 |
5.9e+03 |
16 |
6 |
1 |
1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-cov-64 |
dotproduct |
1.0.2 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||
GaussianProcessRegressor |
~b-reg-cov-64 |
dotproduct |
1.0.2 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||
GaussianProcessRegressor |
~b-reg-cov-64 |
expsine |
1.0.2 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||
GaussianProcessRegressor |
~b-reg-cov-64 |
rational |
1.0.2 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||
GaussianProcessRegressor |
~b-reg-cov-64 |
rbf |
1.0.2 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||
GaussianProcessRegressor |
~b-reg-std-NSV-64 |
dotproduct |
OK 15/ |
1.0.2 |
1 |
1.1e+05 |
14 |
8 |
skl2onnx |
1.1 |
1.1e+05 |
14 |
8 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
||||||||||
GaussianProcessRegressor |
~b-reg-std-NSV-64 |
dotproduct |
cdist |
OK 15/ |
1.0.2 |
1 |
1.1e+05 |
14 |
8 |
skl2onnx |
1.1 |
1.1e+05 |
14 |
8 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-std-NSV-64 |
expsine |
cdist |
OK 15/ |
1.0.2 |
1 |
1.1e+05 |
21 |
13 |
skl2onnx |
1.1 |
1.1e+05 |
21 |
13 |
1 |
1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-std-NSV-64 |
rational |
cdist |
OK 15/ |
1.0.2 |
1 |
1.1e+05 |
17 |
10 |
skl2onnx |
1.1 |
1.1e+05 |
17 |
10 |
1 |
1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-std-NSV-64 |
rbf |
cdist |
OK 15/ |
1.0.2 |
1 |
1.1e+05 |
28 |
9 |
skl2onnx |
1.1 |
1.1e+05 |
24 |
9 |
1 |
1 |
-1 |
-1 |
-1 |
-1 |
|||||||||
GaussianProcessRegressor |
~b-reg-std-NSV-64 |
rbf |
cdist |
OK 15/ |
1.0.2 |
1 |
1.1e+05 |
28 |
9 |
skl2onnx |
1.1 |
1.1e+05 |
24 |
9 |
1 |
1 |
-1 |
-1 |
-1 |
-1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
GaussianProcessRegressor |
b-reg |
dotproduct |
OK 15/ |
1.2 |
1.2 |
0.35 |
0.32 |
0.41 |
1 |
1.4 |
1.1 |
1.7 |
0.078 |
0.6 |
0.3 |
0.33 |
0.38 |
0.43 |
|
GaussianProcessRegressor |
b-reg |
expsine |
cdist |
OK 15/ |
1.7 |
1.2 |
0.55 |
0.17 |
0.2 |
1.6 |
2 |
1 |
1.7 |
0.55 |
0.58 |
0.14 |
0.23 |
0.19 |
0.2 |
GaussianProcessRegressor |
b-reg |
rational |
cdist |
OK 15/ |
0.98 |
0.84 |
0.25 |
0.11 |
0.12 |
0.37 |
1.2 |
0.8 |
1.1 |
0.25 |
0.26 |
0.075 |
0.15 |
0.11 |
0.14 |
GaussianProcessRegressor |
b-reg |
rbf |
cdist |
OK 15/ |
2 |
1.4 |
0.43 |
0.22 |
0.13 |
1.8 |
2.4 |
0.38 |
2.3 |
0.41 |
0.58 |
0.19 |
0.25 |
0.12 |
0.14 |
GaussianProcessRegressor |
~b-reg-64 |
dotproduct |
OK 15/ |
1.2 |
0.87 |
0.83 |
0.53 |
0.55 |
1.1 |
1.4 |
0.44 |
1.4 |
0.76 |
0.9 |
0.32 |
0.71 |
0.52 |
0.57 |
|
GaussianProcessRegressor |
~b-reg-64 |
expsine |
cdist |
OK 15/ |
1.5 |
1.3 |
0.55 |
0.32 |
0.55 |
0.46 |
2.1 |
1.3 |
1.9 |
0.54 |
0.57 |
0.3 |
0.34 |
0.54 |
0.57 |
GaussianProcessRegressor |
~b-reg-64 |
rational |
cdist |
OK 15/ |
1.4 |
0.82 |
0.47 |
0.19 |
0.33 |
1.1 |
5.6 |
0.26 |
1.2 |
0.46 |
0.48 |
0.17 |
0.22 |
0.32 |
0.34 |
GaussianProcessRegressor |
~b-reg-64 |
rbf |
cdist |
OK 15/ |
2.3 |
1.8 |
0.61 |
0.29 |
0.45 |
2.1 |
2.6 |
1.6 |
2.4 |
0.56 |
0.64 |
0.28 |
0.29 |
0.43 |
0.47 |
GaussianProcessRegressor |
~b-reg-NF-64 |
dotproduct |
OK 15/ |
1.9 |
1.9 |
2.2 |
2.1 |
3 |
1.8 |
2.2 |
1.7 |
3.1 |
1.9 |
2.9 |
1.9 |
2.2 |
2.7 |
3.4 |
|
GaussianProcessRegressor |
~b-reg-NF-64 |
expsine |
cdist |
OK 15/ |
2 |
2 |
2 |
2.1 |
2.9 |
1.8 |
2.3 |
1.8 |
3.1 |
1.8 |
2.1 |
1.9 |
2.2 |
2.5 |
3.4 |
GaussianProcessRegressor |
~b-reg-NF-64 |
rational |
cdist |
OK 15/ |
2.2 |
2 |
2.1 |
2.1 |
3.4 |
1.8 |
5.7 |
1.8 |
3.2 |
1.9 |
2.4 |
1.9 |
2.2 |
3.1 |
3.8 |
GaussianProcessRegressor |
~b-reg-NF-64 |
rbf |
cdist |
OK 15/ |
2 |
2 |
2 |
2.1 |
3 |
1.8 |
2.3 |
1.8 |
2.9 |
1.8 |
2.2 |
2 |
2.3 |
2.6 |
3.4 |
GaussianProcessRegressor |
~b-reg-NF-cov-64 |
expsine |
cdist |
OK 15/ |
4 |
8.5 |
8.6 |
1.7 |
3.6 |
4.7 |
7.6 |
11 |
7.9 |
10 |
1.7 |
1.8 |
|||
GaussianProcessRegressor |
~b-reg-NF-cov-64 |
rational |
cdist |
OK 15/ |
2.8 |
7.8 |
23 |
4.5 |
2.5 |
3.5 |
6.8 |
11 |
21 |
28 |
4.4 |
4.6 |
|||
GaussianProcessRegressor |
~b-reg-NF-cov-64 |
rbf |
cdist |
OK 15/ |
4 |
8.6 |
26 |
6.1 |
3.6 |
5.2 |
7.8 |
12 |
23 |
32 |
5.9 |
6.4 |
|||
GaussianProcessRegressor |
~b-reg-NF-cov-64 |
rbf |
cdist |
OK 15/ |
3.8 |
8.4 |
26 |
6 |
3.6 |
4.6 |
7.6 |
12 |
23 |
31 |
5.8 |
6.2 |
|||
GaussianProcessRegressor |
~b-reg-NF-std-64 |
dotproduct |
OK 15/ |
2.6 |
2.6 |
2.6 |
2.5 |
2.3 |
2.2 |
3.1 |
2.3 |
4 |
2.4 |
2.7 |
2.3 |
2.6 |
2.3 |
2.3 |
|
GaussianProcessRegressor |
~b-reg-NF-std-64 |
expsine |
cdist |
OK 15/ |
2.7 |
2.9 |
2.9 |
2.7 |
2.7 |
2.6 |
3.1 |
2.6 |
4.4 |
2.7 |
3 |
2.6 |
2.9 |
2.5 |
2.9 |
GaussianProcessRegressor |
~b-reg-NF-std-64 |
rational |
cdist |
OK 15/ |
2.9 |
2.9 |
2.9 |
2.7 |
2.7 |
2.6 |
3.5 |
2.7 |
4.6 |
2.7 |
3 |
2.6 |
2.9 |
2.5 |
2.8 |
GaussianProcessRegressor |
~b-reg-NF-std-64 |
rational |
cdist |
OK 15/ |
2.9 |
2.9 |
2.9 |
2.8 |
2.7 |
2.6 |
3.5 |
2.7 |
4.6 |
2.7 |
3 |
2.6 |
3 |
2.5 |
2.8 |
GaussianProcessRegressor |
~b-reg-NF-std-64 |
rbf |
cdist |
OK 15/ |
2.9 |
3 |
2.9 |
2.8 |
2.7 |
2.7 |
3.5 |
2.7 |
4.6 |
2.8 |
3.1 |
2.5 |
2.9 |
2.5 |
2.9 |
GaussianProcessRegressor |
~b-reg-NF-std-64 |
rbf |
cdist |
OK 15/ |
2.9 |
3 |
2.9 |
2.8 |
2.7 |
2.7 |
3.5 |
2.7 |
4.7 |
2.7 |
3.1 |
2.5 |
3 |
2.5 |
3 |
GaussianProcessRegressor |
~b-reg-NSV-64 |
dotproduct |
OK 15/ |
1.2 |
0.92 |
0.84 |
0.7 |
0.67 |
0.48 |
6.3 |
0.81 |
1.4 |
0.8 |
0.89 |
0.64 |
0.78 |
0.59 |
0.76 |
|
GaussianProcessRegressor |
~b-reg-NSV-64 |
expsine |
cdist |
OK 15/ |
1.7 |
1.3 |
1.1 |
0.35 |
0.62 |
1.6 |
2.1 |
1.1 |
1.9 |
1.1 |
1.1 |
0.29 |
0.51 |
0.6 |
0.63 |
GaussianProcessRegressor |
~b-reg-NSV-64 |
rational |
cdist |
OK 15/ |
1.2 |
0.95 |
0.47 |
0.18 |
0.3 |
1.1 |
1.3 |
0.88 |
1.2 |
0.45 |
0.48 |
0.18 |
0.18 |
0.29 |
0.31 |
GaussianProcessRegressor |
~b-reg-NSV-64 |
rbf |
cdist |
OK 15/ |
2.5 |
1.8 |
1.3 |
0.43 |
0.43 |
2.2 |
2.8 |
1.5 |
2.8 |
1.3 |
1.3 |
0.33 |
0.59 |
0.38 |
0.5 |
GaussianProcessRegressor |
~b-reg-NSV-64 |
rbf |
cdist |
OK 15/ |
2.3 |
1.7 |
1.2 |
0.42 |
0.43 |
2.1 |
2.6 |
1.4 |
2.4 |
1.2 |
1.3 |
0.32 |
0.58 |
0.38 |
0.49 |
GaussianProcessRegressor |
~b-reg-std-NSV-64 |
dotproduct |
OK 15/ |
1.5 |
1.3 |
1.5 |
1.8 |
1.7 |
1.4 |
1.7 |
1.1 |
1.9 |
1.5 |
1.6 |
1.7 |
1.9 |
1.5 |
1.8 |
|
GaussianProcessRegressor |
~b-reg-std-NSV-64 |
expsine |
cdist |
OK 15/ |
1.9 |
1.5 |
1.4 |
0.85 |
0.76 |
1.7 |
2.3 |
1.4 |
1.6 |
1.4 |
1.4 |
0.78 |
0.88 |
0.75 |
0.78 |
GaussianProcessRegressor |
~b-reg-std-NSV-64 |
rational |
cdist |
OK 15/ |
1.5 |
1.3 |
0.58 |
0.28 |
0.46 |
1.4 |
1.8 |
1.1 |
1.7 |
0.47 |
0.61 |
0.28 |
0.28 |
0.44 |
0.48 |
GaussianProcessRegressor |
~b-reg-std-NSV-64 |
rbf |
cdist |
OK 15/ |
2.2 |
1.9 |
1.6 |
0.67 |
0.76 |
2 |
2.5 |
1.8 |
2.6 |
1.4 |
1.7 |
0.54 |
0.99 |
0.73 |
0.79 |
GaussianProcessRegressor |
~b-reg-std-NSV-64 |
rbf |
cdist |
OK 15/ |
2.3 |
2 |
1.6 |
0.67 |
0.75 |
2.1 |
2.8 |
1.8 |
3.1 |
1.4 |
1.7 |
0.54 |
0.99 |
0.72 |
0.79 |
GaussianRandomProjection#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
GaussianRandomProjection |
num-tr |
eps95 |
ERR: 1training_time |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
GaussianRandomProjection |
num-tr |
eps95 |
ERR: 1training_time |
eps=0.950000 and n_samples=112 lead to a target dimension of 114 which is l… |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
GaussianRandomProjection |
num-tr |
eps95 |
ERR: 1training_time |
1.0.2 |
GenericUnivariateSelect#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
GenericUnivariateSelect |
num+y-tr |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
GenericUnivariateSelect |
num+y-tr |
default |
Model ‘GenericUnivariateSelect’ did not select any feature. This model cann… |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
GenericUnivariateSelect |
num+y-tr |
default |
1.0.2 |
1 |
GradientBoosting#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
GradientBoostingClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
GradientBoostingClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
GradientBoostingRegressor |
b-reg |
default |
OK 15/1 |
1 |
|
~b-reg-64 |
default |
ERR: 5ort_load |
1 |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
~b-reg-64 |
default |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
GradientBoostingClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
2e+02 |
2.2e+04 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.2e+04 |
1 |
0 |
5.5e+02 |
2e+02 |
3 |
|||||||||||
GradientBoostingClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
2e+02 |
3.1e+05 |
1 |
0 |
skl2onnx |
1.1 |
1 |
3.1e+05 |
1 |
0 |
2.9e+03 |
2e+02 |
3 |
|||||||||||
GradientBoostingRegressor |
b-reg |
default |
OK 15/1 |
1.0.2 |
2e+02 |
1e+05 |
1 |
0 |
skl2onnx |
1.1 |
1 |
1e+05 |
1 |
0 |
2.8e+03 |
2e+02 |
3 |
-1 |
|||||||||||
~b-reg-64 |
default |
ERR: 5ort_load |
1.0.2 |
2e+02 |
1.2e+05 |
1 |
0 |
skl2onnx |
1.1 |
-1 |
1.2e+05 |
1 |
0 |
2.8e+03 |
2e+02 |
3 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
GradientBoostingClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
0.19 |
0.24 |
0.29 |
0.46 |
0.55 |
0.18 |
0.22 |
0.23 |
0.32 |
0.28 |
0.31 |
0.45 |
0.47 |
0.55 |
0.56 |
GradientBoostingClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
0.096 |
0.58 |
0.21 |
0.29 |
0.35 |
0.092 |
0.1 |
0.55 |
0.75 |
0.21 |
0.22 |
0.29 |
0.29 |
0.33 |
0.36 |
GradientBoostingRegressor |
b-reg |
default |
OK 15/1 |
0.29 |
0.44 |
0.29 |
0.27 |
0.27 |
0.27 |
0.33 |
0.4 |
0.56 |
0.27 |
0.3 |
0.27 |
0.28 |
0.27 |
0.27 |
GridSearch#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
GridSearchCV |
b-cl |
cl |
{‘zipmap’: False} |
OK 14/1 |
4 |
GridSearchCV |
b-reg |
reg |
OK 14/1 |
2 |
|
GridSearchCV |
cluster |
reg |
OK 14/ |
9 |
|
GridSearchCV |
m-cl |
cl |
{‘zipmap’: False} |
OK 14/1 |
4 |
GridSearchCV |
m-reg |
reg |
OK 14/1 |
2 |
|
GridSearchCV |
~b-cl-64 |
cl |
{‘zipmap’: False} |
OK 14/1 |
13 |
GridSearchCV |
~b-reg-64 |
reg |
-1 |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
GridSearchCV |
~b-reg-64 |
reg |
‘float’ object has no attribute ‘reshape’ |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
GridSearchCV |
b-cl |
cl |
{‘zipmap’: False} |
OK 14/1 |
1.0.2 |
1 |
5.8e+02 |
4 |
0 |
skl2onnx |
1.1 |
1 |
4.9e+02 |
2 |
0 |
-1 |
-1 |
2 |
|||||||||||
GridSearchCV |
b-reg |
reg |
OK 14/1 |
1.0.2 |
1 |
3e+02 |
2 |
0 |
skl2onnx |
1.1 |
1 |
2.5e+02 |
1 |
0 |
-1 |
-1 |
1 |
||||||||||||
GridSearchCV |
cluster |
reg |
OK 14/ |
1.0.2 |
1 |
7.4e+02 |
9 |
3 |
skl2onnx |
1.1 |
-1 |
6.6e+02 |
7 |
3 |
-1 |
-1 |
2 |
||||||||||||
GridSearchCV |
m-cl |
cl |
{‘zipmap’: False} |
OK 14/1 |
1.0.2 |
1 |
6.1e+02 |
4 |
0 |
skl2onnx |
1.1 |
1 |
5.2e+02 |
2 |
0 |
-1 |
-1 |
2 |
|||||||||||
GridSearchCV |
m-reg |
reg |
OK 14/1 |
1.0.2 |
1 |
3.4e+02 |
2 |
0 |
skl2onnx |
1.1 |
1 |
3e+02 |
1 |
0 |
-1 |
-1 |
1 |
||||||||||||
GridSearchCV |
~b-cl-64 |
cl |
{‘zipmap’: False} |
OK 14/1 |
1.0.2 |
1 |
1.1e+03 |
13 |
5 |
skl2onnx |
1.1 |
1 |
1e+03 |
11 |
5 |
1 |
2 |
2 |
|||||||||||
GridSearchCV |
~b-reg-64 |
reg |
1.0.2 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
GridSearchCV |
b-cl |
cl |
{‘zipmap’: False} |
OK 14/1 |
0.68 |
0.65 |
0.74 |
0.76 |
0.98 |
0.6 |
1.5 |
0.61 |
0.68 |
0.57 |
1.7 |
0.7 |
0.81 |
0.94 |
1 |
GridSearchCV |
b-reg |
reg |
OK 14/1 |
0.69 |
0.7 |
0.69 |
0.82 |
0.76 |
0.65 |
0.77 |
0.65 |
1 |
0.6 |
0.76 |
0.76 |
0.91 |
0.59 |
1 |
|
GridSearchCV |
cluster |
reg |
OK 14/ |
0.5 |
0.52 |
0.56 |
0.23 |
2.1 |
0.44 |
0.62 |
0.46 |
0.8 |
0.53 |
0.6 |
0.22 |
0.27 |
2 |
2.1 |
|
GridSearchCV |
m-cl |
cl |
{‘zipmap’: False} |
OK 14/1 |
0.68 |
0.67 |
0.72 |
0.49 |
0.41 |
0.64 |
0.84 |
0.62 |
0.7 |
0.57 |
1.6 |
0.46 |
0.52 |
0.41 |
0.41 |
GridSearchCV |
m-reg |
reg |
OK 14/1 |
0.68 |
0.68 |
0.67 |
0.73 |
0.69 |
0.65 |
0.8 |
0.63 |
1 |
0.62 |
0.75 |
0.64 |
0.82 |
0.64 |
0.75 |
|
GridSearchCV |
~b-cl-64 |
cl |
{‘zipmap’: False} |
OK 14/1 |
2.2 |
2.4 |
2.3 |
2.7 |
3.7 |
1.8 |
2.8 |
2.2 |
4.4 |
2.1 |
2.4 |
2.5 |
2.8 |
3.5 |
3.8 |
HashingVectorizer#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
HashingVectorizer |
num-tr |
default |
ERR: 3prediction |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
HashingVectorizer |
num-tr |
default |
ERR: 3prediction |
‘numpy.ndarray’ object has no attribute ‘lower’ |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
HashingVectorizer |
num-tr |
default |
ERR: 3prediction |
1.0.2 |
1 |
HistGradientBoosting#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
HistGradientBoostingClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
HistGradientBoostingClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
1 |
|
HistGradientBoostingClassifier |
~b-cl-nan |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
HistGradientBoostingRegressor |
b-reg |
default |
OK 15/1 |
1 |
|
~b-reg-64 |
default |
ERR: 5ort_load |
1 |
||
HistGradientBoostingRegressor |
~b-reg-nan |
default |
OK 15/1 |
1 |
|
~b-reg-nan-64 |
default |
ERR: 5ort_load |
1 |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
~b-reg-64 |
default |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
||
~b-reg-nan-64 |
default |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
HistGradientBoostingClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
1.2e+04 |
1 |
0 |
skl2onnx |
1.1 |
1 |
1.2e+04 |
1 |
0 |
-1 |
|||||||||||||
HistGradientBoostingClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
7.6e+04 |
1 |
0 |
skl2onnx |
1.1 |
1 |
7.6e+04 |
1 |
0 |
-1 |
|||||||||||||
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
1.0.2 |
1 |
1.2e+04 |
1 |
0 |
skl2onnx |
1.1 |
-1 |
1.2e+04 |
1 |
0 |
1 |
||||||||||||||
HistGradientBoostingClassifier |
~b-cl-nan |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
3.1e+04 |
1 |
0 |
skl2onnx |
1.1 |
1 |
3.1e+04 |
1 |
0 |
-1 |
|||||||||||||
HistGradientBoostingRegressor |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
2.7e+04 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.7e+04 |
1 |
0 |
-1 |
||||||||||||||
~b-reg-64 |
default |
ERR: 5ort_load |
1.0.2 |
1 |
3.3e+04 |
1 |
0 |
skl2onnx |
1.1 |
-1 |
3.3e+04 |
1 |
0 |
1 |
|||||||||||||||
HistGradientBoostingRegressor |
~b-reg-nan |
default |
OK 15/1 |
1.0.2 |
1 |
2.9e+04 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.9e+04 |
1 |
0 |
-1 |
||||||||||||||
~b-reg-nan-64 |
default |
ERR: 5ort_load |
1.0.2 |
1 |
3.5e+04 |
1 |
0 |
skl2onnx |
1.1 |
-1 |
3.5e+04 |
1 |
0 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
HistGradientBoostingClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
0.018 |
0.023 |
0.036 |
0.15 |
0.54 |
0.014 |
0.022 |
0.019 |
0.032 |
0.033 |
0.039 |
0.14 |
0.15 |
0.53 |
0.56 |
HistGradientBoostingClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
0.007 |
0.015 |
0.022 |
0.12 |
0.45 |
0.0063 |
0.0079 |
0.013 |
0.018 |
0.019 |
0.024 |
0.11 |
0.13 |
0.44 |
0.46 |
HistGradientBoostingClassifier |
~b-cl-nan |
default |
{‘zipmap’: False} |
OK 15/1 |
0.018 |
0.027 |
0.04 |
0.16 |
0.6 |
0.014 |
0.02 |
0.02 |
0.036 |
0.038 |
0.042 |
0.14 |
0.16 |
0.57 |
0.63 |
HistGradientBoostingRegressor |
b-reg |
default |
OK 15/1 |
0.018 |
0.023 |
0.031 |
0.1 |
0.33 |
0.014 |
0.021 |
0.018 |
0.032 |
0.029 |
0.033 |
0.1 |
0.11 |
0.32 |
0.33 |
|
HistGradientBoostingRegressor |
~b-reg-nan |
default |
OK 15/1 |
0.018 |
0.024 |
0.032 |
0.11 |
0.35 |
0.015 |
0.021 |
0.015 |
0.033 |
0.024 |
0.036 |
0.11 |
0.12 |
0.34 |
0.35 |
IncrementalPCA#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
IncrementalPCA |
num-tr |
default |
OK 13/ |
2 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
IncrementalPCA |
num-tr |
default |
OK 13/ |
1.0.2 |
1 |
3.3e+02 |
2 |
2 |
skl2onnx |
1.1 |
3.3e+02 |
2 |
2 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
IncrementalPCA |
num-tr |
default |
OK 13/ |
1.1 |
1.1 |
1.2 |
1.1 |
0.94 |
0.98 |
1.3 |
0.99 |
1.1 |
0.91 |
2.7 |
0.99 |
1.2 |
0.91 |
0.96 |
IsotonicRegression#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
IsotonicRegression |
~b-reg-1d |
default |
|||
IsotonicRegression |
~num+y-tr-1d |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
IsotonicRegression |
~b-reg-1d |
default |
NO CONVERTER |
||
IsotonicRegression |
~num+y-tr-1d |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
IsotonicRegression |
~b-reg-1d |
default |
1.0.2 |
1 |
|||||||||||||||||||||||||
IsotonicRegression |
~num+y-tr-1d |
default |
1.0.2 |
1 |
IterativeImputer#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
IterativeImputer |
num-tr |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
IterativeImputer |
num-tr |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
IterativeImputer |
num-tr |
default |
1.0.2 |
1 |
KBinsDiscretizer#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
KBinsDiscretizer |
num-tr |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
KBinsDiscretizer |
num-tr |
default |
onehot encoding not supported. ONNX does not support sparse tensors. with o… |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
KBinsDiscretizer |
num-tr |
default |
1.0.2 |
1 |
KMeans#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
KMeans |
cluster |
default |
OK 14/ |
7 |
|
KMeans |
~b-clu-64 |
default |
OK 14/ |
7 |
|
KMeans |
~num-tr-clu |
default |
OK 14/ |
7 |
|
KMeans |
~num-tr-clu-64 |
default |
OK 14/ |
7 |
|
MiniBatchKMeans |
cluster |
default |
OK 14/ |
7 |
|
MiniBatchKMeans |
~b-clu-64 |
default |
OK 14/ |
7 |
|
MiniBatchKMeans |
~num-tr-clu |
default |
OK 14/ |
7 |
|
MiniBatchKMeans |
~num-tr-clu-64 |
default |
OK 14/ |
7 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
KMeans |
cluster |
default |
OK 14/ |
1.0.2 |
1 |
7.6e+02 |
7 |
3 |
skl2onnx |
1.1 |
7.6e+02 |
7 |
3 |
||||||||||||||||
KMeans |
~b-clu-64 |
default |
OK 14/ |
1.0.2 |
1 |
9.2e+02 |
7 |
3 |
skl2onnx |
1.1 |
9.2e+02 |
7 |
3 |
||||||||||||||||
KMeans |
~num-tr-clu |
default |
OK 14/ |
1.0.2 |
1 |
7.6e+02 |
7 |
3 |
skl2onnx |
1.1 |
7.6e+02 |
7 |
3 |
||||||||||||||||
KMeans |
~num-tr-clu-64 |
default |
OK 14/ |
1.0.2 |
1 |
9.2e+02 |
7 |
3 |
skl2onnx |
1.1 |
9.2e+02 |
7 |
3 |
||||||||||||||||
MiniBatchKMeans |
cluster |
default |
OK 14/ |
1.0.2 |
1 |
7.7e+02 |
7 |
3 |
skl2onnx |
1.1 |
7.7e+02 |
7 |
3 |
||||||||||||||||
MiniBatchKMeans |
~b-clu-64 |
default |
OK 14/ |
1.0.2 |
1 |
9.3e+02 |
7 |
3 |
skl2onnx |
1.1 |
9.3e+02 |
7 |
3 |
||||||||||||||||
MiniBatchKMeans |
~num-tr-clu |
default |
OK 14/ |
1.0.2 |
1 |
7.7e+02 |
7 |
3 |
skl2onnx |
1.1 |
7.7e+02 |
7 |
3 |
||||||||||||||||
MiniBatchKMeans |
~num-tr-clu-64 |
default |
OK 14/ |
1.0.2 |
1 |
9.3e+02 |
7 |
3 |
skl2onnx |
1.1 |
9.3e+02 |
7 |
3 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
KMeans |
cluster |
default |
OK 14/ |
0.48 |
0.55 |
0.58 |
0.18 |
2.1 |
0.11 |
1.2 |
0.49 |
0.84 |
0.55 |
0.61 |
0.14 |
0.22 |
2 |
2.2 |
|
KMeans |
~b-clu-64 |
default |
OK 14/ |
0.48 |
0.54 |
0.58 |
0.19 |
1.8 |
0.25 |
0.62 |
0.49 |
0.82 |
0.52 |
0.61 |
0.14 |
0.28 |
1.5 |
2.1 |
|
KMeans |
~num-tr-clu |
default |
OK 14/ |
0.76 |
0.77 |
0.77 |
0.88 |
0.67 |
0.7 |
0.9 |
0.7 |
1.2 |
0.73 |
0.8 |
0.84 |
0.92 |
0.66 |
0.68 |
|
KMeans |
~num-tr-clu-64 |
default |
OK 14/ |
1.1 |
0.95 |
0.95 |
1.1 |
0.74 |
0.86 |
4.4 |
0.87 |
1.5 |
0.9 |
1 |
1.1 |
1.2 |
0.65 |
0.83 |
|
MiniBatchKMeans |
cluster |
default |
OK 14/ |
0.52 |
0.54 |
0.55 |
0.17 |
1.9 |
0.44 |
0.65 |
0.48 |
0.82 |
0.4 |
0.61 |
0.15 |
0.19 |
1.8 |
2.1 |
|
MiniBatchKMeans |
~b-clu-64 |
default |
OK 14/ |
0.49 |
0.54 |
0.58 |
0.19 |
1.6 |
0.21 |
0.62 |
0.49 |
0.83 |
0.55 |
0.62 |
0.14 |
0.26 |
1.5 |
1.7 |
|
MiniBatchKMeans |
~num-tr-clu |
default |
OK 14/ |
0.75 |
0.74 |
0.77 |
0.87 |
0.68 |
0.69 |
0.89 |
0.57 |
1.2 |
0.73 |
0.8 |
0.83 |
0.91 |
0.66 |
0.69 |
|
MiniBatchKMeans |
~num-tr-clu-64 |
default |
OK 14/ |
1.1 |
0.94 |
0.95 |
1.1 |
0.7 |
0.83 |
2.4 |
0.85 |
1.4 |
0.9 |
1 |
1 |
1.2 |
0.59 |
0.83 |
KNNImputer#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
KNNImputer |
num-tr |
default |
OK 15/1 |
37 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
KNNImputer |
num-tr |
default |
OK 15/1 |
1.0.2 |
1 |
1.2e+04 |
37 |
10 |
skl2onnx |
1.1 |
1 |
1.2e+04 |
35 |
10 |
1 |
6 |
2 |
1 |
1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
KNNImputer |
num-tr |
default |
OK 15/1 |
70 |
71 |
72 |
99 |
2.3e+02 |
66 |
83 |
65 |
1.1e+02 |
68 |
74 |
94 |
1e+02 |
2.2e+02 |
2.4e+02 |
KernelCenterer#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
KernelCenterer |
num-tr |
default |
ERR: 1training_time |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
KernelCenterer |
num-tr |
default |
ERR: 1training_time |
Kernel matrix must be a square matrix. Input is a 112x4 matrix. |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
KernelCenterer |
num-tr |
default |
ERR: 1training_time |
1.0.2 |
KernelPCA#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
num-tr |
default |
e<0.1 14/ |
8 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
num-tr |
default |
e<0.1 14/ |
1.0.2 |
1 |
5.6e+03 |
8 |
6 |
skl2onnx |
1.1 |
5.6e+03 |
8 |
6 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
num-tr |
default |
e<0.1 14/ |
0.035 |
0.037 |
0.045 |
0.06 |
0.22 |
0.032 |
0.043 |
0.033 |
0.057 |
0.042 |
0.049 |
0.041 |
0.072 |
0.19 |
0.25 |
Label…#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
LabelBinarizer |
int-col |
default |
OK 13/ |
4 |
|
LabelEncoder |
int-col |
default |
OK 15/2 |
1 |
|
LabelPropagation |
b-cl |
default |
|||
LabelPropagation |
m-cl |
default |
|||
LabelSpreading |
b-cl |
default |
|||
LabelSpreading |
m-cl |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
LabelPropagation |
b-cl |
default |
NO CONVERTER |
||
LabelPropagation |
m-cl |
default |
NO CONVERTER |
||
LabelSpreading |
b-cl |
default |
NO CONVERTER |
||
LabelSpreading |
m-cl |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
LabelBinarizer |
int-col |
default |
OK 13/ |
1.0.2 |
1 |
5e+02 |
4 |
4 |
skl2onnx |
1.1 |
5e+02 |
4 |
4 |
1 |
1 |
||||||||||||||
LabelEncoder |
int-col |
default |
OK 15/2 |
1.0.2 |
1 |
2.3e+02 |
1 |
0 |
skl2onnx |
1.1 |
2 |
2.3e+02 |
1 |
0 |
|||||||||||||||
LabelPropagation |
b-cl |
default |
1.0.2 |
1 |
|||||||||||||||||||||||||
LabelPropagation |
m-cl |
default |
1.0.2 |
1 |
|||||||||||||||||||||||||
LabelSpreading |
b-cl |
default |
1.0.2 |
1 |
|||||||||||||||||||||||||
LabelSpreading |
m-cl |
default |
1.0.2 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
LabelBinarizer |
int-col |
default |
OK 13/ |
0.26 |
0.25 |
0.27 |
0.38 |
0.94 |
0.22 |
0.45 |
0.23 |
0.26 |
0.25 |
0.28 |
0.37 |
0.4 |
0.93 |
0.95 |
|
LabelEncoder |
int-col |
default |
OK 15/2 |
0.51 |
0.45 |
0.44 |
0.48 |
0.56 |
0.4 |
2.1 |
0.42 |
0.68 |
0.41 |
0.48 |
0.45 |
0.54 |
0.52 |
0.6 |
LatentDirichletAllocation#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
LatentDirichletAllocation |
num-tr-pos |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
LatentDirichletAllocation |
num-tr-pos |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
LatentDirichletAllocation |
num-tr-pos |
default |
1.0.2 |
1 |
Linear#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
ARDRegression |
b-reg |
default |
OK 15/1 |
1 |
|
ARDRegression |
~b-reg-64 |
default |
OK 13/ |
3 |
|
BayesianRidge |
b-reg |
default |
OK 15/1 |
1 |
|
BayesianRidge |
~b-reg-64 |
default |
OK 13/ |
3 |
|
ElasticNet |
b-reg |
default |
OK 15/1 |
1 |
|
ElasticNet |
m-reg |
default |
OK 15/1 |
1 |
|
ElasticNet |
~b-reg-64 |
default |
OK 13/ |
3 |
|
ElasticNet |
~m-reg-64 |
default |
OK 13/ |
3 |
|
ElasticNetCV |
b-reg |
default |
OK 15/1 |
1 |
|
ElasticNetCV |
~b-reg-64 |
default |
OK 13/ |
3 |
|
HuberRegressor |
b-reg |
default |
OK 15/1 |
1 |
|
HuberRegressor |
~b-reg-64 |
default |
OK 13/ |
3 |
|
KernelRidge |
b-reg |
default |
|||
KernelRidge |
m-reg |
default |
|||
KernelRidge |
~b-reg-64 |
default |
|||
KernelRidge |
~m-reg-64 |
default |
|||
Lars |
b-reg |
default |
OK 15/1 |
1 |
|
Lars |
m-reg |
default |
OK 15/1 |
1 |
|
Lars |
~b-reg-64 |
default |
OK 13/ |
3 |
|
Lars |
~m-reg-64 |
default |
OK 13/ |
3 |
|
LarsCV |
b-reg |
default |
OK 15/1 |
1 |
|
LarsCV |
~b-reg-64 |
default |
OK 13/ |
3 |
|
Lasso |
b-reg |
default |
OK 15/1 |
1 |
|
Lasso |
m-reg |
default |
OK 15/1 |
1 |
|
Lasso |
~b-reg-64 |
default |
OK 13/ |
3 |
|
Lasso |
~m-reg-64 |
default |
OK 13/ |
3 |
|
LassoCV |
b-reg |
default |
OK 15/1 |
1 |
|
LassoCV |
~b-reg-64 |
default |
OK 13/ |
3 |
|
LassoLars |
b-reg |
default |
OK 15/1 |
1 |
|
LassoLars |
m-reg |
default |
OK 15/1 |
1 |
|
LassoLars |
~b-reg-64 |
default |
OK 13/ |
3 |
|
LassoLars |
~m-reg-64 |
default |
OK 13/ |
3 |
|
LassoLarsCV |
b-reg |
default |
OK 15/1 |
1 |
|
LassoLarsCV |
~b-reg-64 |
default |
OK 13/ |
3 |
|
LassoLarsIC |
b-reg |
default |
OK 15/1 |
1 |
|
LassoLarsIC |
~b-reg-64 |
default |
OK 13/ |
3 |
|
LinearRegression |
b-reg |
default |
OK 15/1 |
1 |
|
LinearRegression |
m-reg |
default |
OK 15/1 |
1 |
|
LinearRegression |
~b-reg-64 |
default |
OK 13/ |
3 |
|
LinearRegression |
~m-reg-64 |
default |
OK 13/ |
3 |
|
LogisticRegression |
b-cl |
liblinear |
OK 9/1 |
4 |
|
LogisticRegression |
b-cl |
liblinear |
{‘zipmap’: False} |
OK 15/1 |
2 |
LogisticRegression |
b-cl |
liblinear |
onnx |
OK 9/1 |
4 |
LogisticRegression |
b-cl |
liblinear |
onnx/{‘zipmap’: False} |
OK 15/1 |
2 |
LogisticRegression |
m-cl |
liblinear |
OK 9/1 |
4 |
|
LogisticRegression |
m-cl |
liblinear |
{‘zipmap’: False} |
OK 15/1 |
2 |
LogisticRegression |
m-cl |
liblinear |
onnx |
OK 9/1 |
4 |
LogisticRegression |
m-cl |
liblinear |
onnx/{‘zipmap’: False} |
OK 15/1 |
2 |
~b-cl-64 |
liblinear |
ERR: 5ort_load |
13 |
||
LogisticRegression |
~b-cl-64 |
liblinear |
{‘zipmap’: False} |
OK 13/1 |
11 |
~b-cl-64 |
liblinear |
onnx |
ERR: 5ort_load |
13 |
|
LogisticRegression |
~b-cl-64 |
liblinear |
onnx/{‘zipmap’: False} |
OK 13/1 |
11 |
LogisticRegression |
~b-cl-dec |
liblinear-dec |
{‘raw_scores’: True, ‘zipmap’: False} |
OK 15/1 |
1 |
LogisticRegression |
~m-cl-dec |
liblinear-dec |
{‘raw_scores’: True, ‘zipmap’: False} |
OK 15/1 |
1 |
LogisticRegressionCV |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
2 |
LogisticRegressionCV |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
2 |
MultiTaskElasticNet |
m-reg |
default |
OK 15/1 |
1 |
|
MultiTaskElasticNetCV |
m-reg |
default |
OK 15/1 |
1 |
|
MultiTaskLasso |
m-reg |
default |
OK 15/1 |
1 |
|
MultiTaskLassoCV |
m-reg |
default |
OK 15/1 |
1 |
|
Ridge |
b-reg |
default |
OK 15/1 |
1 |
|
Ridge |
m-reg |
default |
OK 15/1 |
1 |
|
Ridge |
~b-reg-64 |
default |
OK 13/ |
3 |
|
Ridge |
~m-reg-64 |
default |
OK 13/ |
3 |
|
RidgeCV |
b-reg |
default |
OK 15/1 |
1 |
|
RidgeCV |
m-reg |
default |
OK 15/1 |
1 |
|
RidgeCV |
~b-reg-64 |
default |
OK 13/ |
3 |
|
RidgeCV |
~m-reg-64 |
default |
OK 13/ |
3 |
|
RidgeClassifier |
~b-cl-nop |
default |
{‘zipmap’: False} |
OK 15/1 |
2 |
RidgeClassifier |
~m-cl-nop |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
RidgeClassifier |
~m-label |
default |
ERR: 2skl_meth |
-1 |
|
RidgeClassifierCV |
~b-cl-nop |
default |
{‘zipmap’: False} |
OK 15/1 |
2 |
RidgeClassifierCV |
~m-cl-nop |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
RidgeClassifierCV |
~m-label |
default |
ERR: 2skl_meth |
-1 |
|
SGDClassifier |
b-cl |
log |
{‘zipmap’: False} |
OK 14/1 |
9 |
m-cl |
log |
{‘zipmap’: False} |
ERR: ERROR->=1.0-13/1 |
18 |
|
SGDClassifier |
~b-cl-64 |
log |
{‘zipmap’: False} |
OK 14/1 |
9 |
SGDClassifier |
~b-cl-nan |
log |
ERR: 1training_time |
-1 |
|
SGDRegressor |
b-reg |
default |
OK 15/1 |
1 |
|
SGDRegressor |
~b-reg-64 |
default |
OK 13/ |
3 |
|
TheilSenRegressor |
b-reg |
default |
OK 15/1 |
1 |
|
TheilSenRegressor |
~b-reg-64 |
default |
OK 13/ |
3 |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
KernelRidge |
b-reg |
default |
NO CONVERTER |
||
KernelRidge |
m-reg |
default |
NO CONVERTER |
||
KernelRidge |
~b-reg-64 |
default |
NO CONVERTER |
||
KernelRidge |
~m-reg-64 |
default |
NO CONVERTER |
||
~b-cl-64 |
liblinear |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 10 : INVALID… |
||
~b-cl-64 |
liblinear |
onnx |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 10 : INVALID… |
|
RidgeClassifier |
~m-label |
default |
ERR: 2skl_meth |
‘RidgeClassifier’ object has no attribute ‘predict_proba’ |
|
RidgeClassifierCV |
~m-label |
default |
ERR: 2skl_meth |
‘RidgeClassifierCV’ object has no attribute ‘predict_proba’ |
|
SGDClassifier |
~b-cl-nan |
log |
ERR: 1training_time |
Input contains NaN, infinity or a value too large for dtype(‘float64’). |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ARDRegression |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.5e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.5e+02 |
1 |
0 |
-1 |
||||||||||||
ARDRegression |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.6e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.6e+02 |
3 |
3 |
1 |
||||||||||||
BayesianRidge |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.5e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.5e+02 |
1 |
0 |
-1 |
||||||||||||
BayesianRidge |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.6e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.6e+02 |
3 |
3 |
1 |
||||||||||||
ElasticNet |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.5e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.5e+02 |
1 |
0 |
-1 |
||||||||||||
ElasticNet |
m-reg |
default |
OK 15/1 |
1.0.2 |
1 |
2 |
1 |
2.9e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.9e+02 |
1 |
0 |
-1 |
||||||||||||
ElasticNet |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.6e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.6e+02 |
3 |
3 |
1 |
||||||||||||
ElasticNet |
~m-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
2 |
1 |
4e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
4e+02 |
3 |
3 |
1 |
||||||||||||
ElasticNetCV |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.5e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.5e+02 |
1 |
0 |
-1 |
||||||||||||
ElasticNetCV |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.6e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.6e+02 |
3 |
3 |
1 |
||||||||||||
HuberRegressor |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.6e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.6e+02 |
1 |
0 |
-1 |
||||||||||||
HuberRegressor |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.6e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.6e+02 |
3 |
3 |
1 |
||||||||||||
KernelRidge |
b-reg |
default |
1.0.2 |
1 |
|||||||||||||||||||||||||
KernelRidge |
m-reg |
default |
1.0.2 |
1 |
|||||||||||||||||||||||||
KernelRidge |
~b-reg-64 |
default |
1.0.2 |
1 |
|||||||||||||||||||||||||
KernelRidge |
~m-reg-64 |
default |
1.0.2 |
1 |
|||||||||||||||||||||||||
Lars |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.4e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.4e+02 |
1 |
0 |
-1 |
||||||||||||
Lars |
m-reg |
default |
OK 15/1 |
1.0.2 |
1 |
2 |
1 |
2.9e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.9e+02 |
1 |
0 |
-1 |
||||||||||||
Lars |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.5e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.5e+02 |
3 |
3 |
1 |
||||||||||||
Lars |
~m-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
2 |
1 |
3.9e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.9e+02 |
3 |
3 |
1 |
||||||||||||
LarsCV |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.5e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.5e+02 |
1 |
0 |
-1 |
||||||||||||
LarsCV |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.5e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.5e+02 |
3 |
3 |
1 |
||||||||||||
Lasso |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.5e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.5e+02 |
1 |
0 |
-1 |
||||||||||||
Lasso |
m-reg |
default |
OK 15/1 |
1.0.2 |
1 |
2 |
1 |
2.9e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.9e+02 |
1 |
0 |
-1 |
||||||||||||
Lasso |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.5e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.5e+02 |
3 |
3 |
1 |
||||||||||||
Lasso |
~m-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
2 |
1 |
3.9e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.9e+02 |
3 |
3 |
1 |
||||||||||||
LassoCV |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.5e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.5e+02 |
1 |
0 |
-1 |
||||||||||||
LassoCV |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.5e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.5e+02 |
3 |
3 |
1 |
||||||||||||
LassoLars |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.5e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.5e+02 |
1 |
0 |
-1 |
||||||||||||
LassoLars |
m-reg |
default |
OK 15/1 |
1.0.2 |
1 |
2 |
1 |
2.9e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.9e+02 |
1 |
0 |
-1 |
||||||||||||
LassoLars |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.6e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.6e+02 |
3 |
3 |
1 |
||||||||||||
LassoLars |
~m-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
2 |
1 |
4e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
4e+02 |
3 |
3 |
1 |
||||||||||||
LassoLarsCV |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.5e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.5e+02 |
1 |
0 |
-1 |
||||||||||||
LassoLarsCV |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.6e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.6e+02 |
3 |
3 |
1 |
||||||||||||
LassoLarsIC |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.5e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.5e+02 |
1 |
0 |
-1 |
||||||||||||
LassoLarsIC |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.6e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.6e+02 |
3 |
3 |
1 |
||||||||||||
LinearRegression |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.6e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.6e+02 |
1 |
0 |
-1 |
||||||||||||
LinearRegression |
m-reg |
default |
OK 15/1 |
1.0.2 |
1 |
2 |
1 |
3e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
3e+02 |
1 |
0 |
-1 |
||||||||||||
LinearRegression |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.6e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.6e+02 |
3 |
3 |
1 |
||||||||||||
LinearRegression |
~m-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
2 |
1 |
4e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
4e+02 |
3 |
3 |
1 |
||||||||||||
LogisticRegression |
b-cl |
liblinear |
OK 9/1 |
1.0.2 |
1 |
1 |
1 |
6.5e+02 |
4 |
0 |
skl2onnx |
1.1 |
1 |
6.5e+02 |
4 |
0 |
-1 |
1 |
1 |
||||||||||
LogisticRegression |
b-cl |
liblinear |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
1 |
1 |
4.9e+02 |
2 |
0 |
skl2onnx |
1.1 |
1 |
4.9e+02 |
2 |
0 |
-1 |
-1 |
-1 |
|||||||||
LogisticRegression |
b-cl |
liblinear |
onnx |
OK 9/1 |
1.0.2 |
1 |
1 |
1 |
6.5e+02 |
4 |
0 |
skl2onnx |
1.1 |
1 |
6.5e+02 |
4 |
0 |
-1 |
1 |
1 |
|||||||||
LogisticRegression |
b-cl |
liblinear |
onnx/{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
1 |
1 |
4.9e+02 |
2 |
0 |
skl2onnx |
1.1 |
1 |
4.9e+02 |
2 |
0 |
-1 |
-1 |
-1 |
|||||||||
LogisticRegression |
m-cl |
liblinear |
OK 9/1 |
1.0.2 |
1 |
3 |
1 |
6.8e+02 |
4 |
0 |
skl2onnx |
1.1 |
1 |
6.8e+02 |
4 |
0 |
-1 |
1 |
1 |
||||||||||
LogisticRegression |
m-cl |
liblinear |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
3 |
1 |
5.2e+02 |
2 |
0 |
skl2onnx |
1.1 |
1 |
5.2e+02 |
2 |
0 |
-1 |
-1 |
-1 |
|||||||||
LogisticRegression |
m-cl |
liblinear |
onnx |
OK 9/1 |
1.0.2 |
1 |
3 |
1 |
6.8e+02 |
4 |
0 |
skl2onnx |
1.1 |
1 |
6.8e+02 |
4 |
0 |
-1 |
1 |
1 |
|||||||||
LogisticRegression |
m-cl |
liblinear |
onnx/{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
3 |
1 |
5.2e+02 |
2 |
0 |
skl2onnx |
1.1 |
1 |
5.2e+02 |
2 |
0 |
-1 |
-1 |
-1 |
|||||||||
~b-cl-64 |
liblinear |
ERR: 5ort_load |
1.0.2 |
1 |
1 |
1 |
1.2e+03 |
13 |
5 |
skl2onnx |
1.1 |
1 |
1.2e+03 |
13 |
5 |
1 |
3 |
1 |
|||||||||||
LogisticRegression |
~b-cl-64 |
liblinear |
{‘zipmap’: False} |
OK 13/1 |
1.0.2 |
1 |
1 |
1 |
1e+03 |
11 |
5 |
skl2onnx |
1.1 |
1 |
1e+03 |
11 |
5 |
1 |
2 |
-1 |
|||||||||
~b-cl-64 |
liblinear |
onnx |
ERR: 5ort_load |
1.0.2 |
1 |
1 |
1 |
1.2e+03 |
13 |
5 |
skl2onnx |
1.1 |
1 |
1.2e+03 |
13 |
5 |
1 |
3 |
1 |
||||||||||
LogisticRegression |
~b-cl-64 |
liblinear |
onnx/{‘zipmap’: False} |
OK 13/1 |
1.0.2 |
1 |
1 |
1 |
1e+03 |
11 |
5 |
skl2onnx |
1.1 |
1 |
1e+03 |
11 |
5 |
1 |
2 |
-1 |
|||||||||
LogisticRegression |
~b-cl-dec |
liblinear-dec |
{‘raw_scores’: True, ‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
1 |
1 |
4e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
4e+02 |
1 |
0 |
-1 |
-1 |
-1 |
|||||||||
LogisticRegression |
~m-cl-dec |
liblinear-dec |
{‘raw_scores’: True, ‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
3 |
1 |
4.2e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
4.2e+02 |
1 |
0 |
-1 |
-1 |
-1 |
|||||||||
LogisticRegressionCV |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
1 |
1 |
5e+02 |
2 |
0 |
skl2onnx |
1.1 |
1 |
5e+02 |
2 |
0 |
||||||||||||
LogisticRegressionCV |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
3 |
1 |
5.2e+02 |
2 |
0 |
skl2onnx |
1.1 |
1 |
5.2e+02 |
2 |
0 |
||||||||||||
MultiTaskElasticNet |
m-reg |
default |
OK 15/1 |
1.0.2 |
1 |
2 |
1 |
3e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
3e+02 |
1 |
0 |
|||||||||||||
MultiTaskElasticNetCV |
m-reg |
default |
OK 15/1 |
1.0.2 |
1 |
2 |
1 |
3e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
3e+02 |
1 |
0 |
|||||||||||||
MultiTaskLasso |
m-reg |
default |
OK 15/1 |
1.0.2 |
1 |
2 |
1 |
3e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
3e+02 |
1 |
0 |
|||||||||||||
MultiTaskLassoCV |
m-reg |
default |
OK 15/1 |
1.0.2 |
1 |
2 |
1 |
3e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
3e+02 |
1 |
0 |
|||||||||||||
Ridge |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.5e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.5e+02 |
1 |
0 |
-1 |
||||||||||||
Ridge |
m-reg |
default |
OK 15/1 |
1.0.2 |
1 |
2 |
1 |
2.9e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.9e+02 |
1 |
0 |
-1 |
||||||||||||
Ridge |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.5e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.5e+02 |
3 |
3 |
1 |
||||||||||||
Ridge |
~m-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
2 |
1 |
3.9e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.9e+02 |
3 |
3 |
1 |
||||||||||||
RidgeCV |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.5e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.5e+02 |
1 |
0 |
-1 |
||||||||||||
RidgeCV |
m-reg |
default |
OK 15/1 |
1.0.2 |
1 |
2 |
1 |
2.9e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.9e+02 |
1 |
0 |
-1 |
||||||||||||
RidgeCV |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.5e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.5e+02 |
3 |
3 |
1 |
||||||||||||
RidgeCV |
~m-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
2 |
1 |
3.9e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.9e+02 |
3 |
3 |
1 |
||||||||||||
RidgeClassifier |
~b-cl-nop |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
1 |
1 |
5.4e+02 |
2 |
1 |
skl2onnx |
1.1 |
1 |
5.4e+02 |
2 |
1 |
||||||||||||
RidgeClassifier |
~m-cl-nop |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
3 |
1 |
4.2e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
4.2e+02 |
1 |
0 |
||||||||||||
RidgeClassifier |
~m-label |
default |
ERR: 2skl_meth |
1.0.2 |
1 |
3 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||||
RidgeClassifierCV |
~b-cl-nop |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
1 |
1 |
5.4e+02 |
2 |
1 |
skl2onnx |
1.1 |
1 |
5.4e+02 |
2 |
1 |
||||||||||||
RidgeClassifierCV |
~m-cl-nop |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
3 |
1 |
4.2e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
4.2e+02 |
1 |
0 |
||||||||||||
RidgeClassifierCV |
~m-label |
default |
ERR: 2skl_meth |
1.0.2 |
1 |
3 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||||
SGDClassifier |
b-cl |
log |
{‘zipmap’: False} |
OK 14/1 |
1.0.2 |
1 |
1 |
1 |
8.1e+02 |
9 |
5 |
skl2onnx |
1.1 |
1 |
8.1e+02 |
9 |
5 |
1 |
1 |
||||||||||
m-cl |
log |
{‘zipmap’: False} |
ERR: ERROR->=1.0-13/1 |
1.0.2 |
1 |
3 |
1 |
1.4e+03 |
18 |
8 |
skl2onnx |
1.1 |
1 |
1.4e+03 |
18 |
8 |
1 |
3 |
|||||||||||
SGDClassifier |
~b-cl-64 |
log |
{‘zipmap’: False} |
OK 14/1 |
1.0.2 |
1 |
1 |
1 |
8.3e+02 |
9 |
5 |
skl2onnx |
1.1 |
1 |
8.3e+02 |
9 |
5 |
1 |
1 |
||||||||||
SGDClassifier |
~b-cl-nan |
log |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||
SGDRegressor |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.5e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.5e+02 |
1 |
0 |
-1 |
||||||||||||
SGDRegressor |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.6e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.6e+02 |
3 |
3 |
1 |
||||||||||||
TheilSenRegressor |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.6e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.6e+02 |
1 |
0 |
-1 |
||||||||||||
TheilSenRegressor |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.6e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.6e+02 |
3 |
3 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ARDRegression |
b-reg |
default |
OK 15/1 |
0.78 |
0.79 |
0.78 |
0.87 |
1.1 |
0.74 |
0.86 |
0.76 |
1.1 |
0.76 |
0.79 |
0.83 |
0.91 |
1.1 |
1.2 |
|
ARDRegression |
~b-reg-64 |
default |
OK 13/ |
1.5 |
1.5 |
1.6 |
2 |
5.5 |
1.4 |
1.9 |
1.5 |
1.6 |
1.5 |
1.6 |
2 |
2.1 |
5.4 |
5.6 |
|
BayesianRidge |
b-reg |
default |
OK 15/1 |
0.78 |
0.74 |
0.74 |
0.81 |
1.1 |
0.68 |
1.9 |
0.72 |
0.99 |
0.71 |
0.75 |
0.78 |
0.84 |
1.1 |
1.1 |
|
BayesianRidge |
~b-reg-64 |
default |
OK 13/ |
1.4 |
1.4 |
1.5 |
1.9 |
5.2 |
1.3 |
1.7 |
1.3 |
1.4 |
1.4 |
1.5 |
1.8 |
1.9 |
5.1 |
5.3 |
|
ElasticNet |
b-reg |
default |
OK 15/1 |
0.78 |
0.75 |
0.75 |
0.86 |
2 |
0.69 |
1.6 |
0.7 |
1 |
0.73 |
0.76 |
0.83 |
0.9 |
1.8 |
2.1 |
|
ElasticNet |
m-reg |
default |
OK 15/1 |
0.73 |
0.72 |
0.72 |
0.77 |
0.69 |
0.69 |
0.82 |
0.61 |
0.97 |
0.68 |
0.74 |
0.76 |
0.8 |
0.67 |
0.72 |
|
ElasticNet |
~b-reg-64 |
default |
OK 13/ |
1.4 |
1.4 |
1.5 |
1.9 |
5.3 |
1.3 |
1.7 |
1.4 |
1.4 |
1.4 |
1.5 |
1.8 |
1.9 |
5.1 |
5.5 |
|
ElasticNet |
~m-reg-64 |
default |
OK 13/ |
1.4 |
1.4 |
1.4 |
1.6 |
1.6 |
1.3 |
1.7 |
1.3 |
1.4 |
1.4 |
1.4 |
1.5 |
1.6 |
1.6 |
1.7 |
|
ElasticNetCV |
b-reg |
default |
OK 15/1 |
0.76 |
0.76 |
0.78 |
0.89 |
2.2 |
0.71 |
0.85 |
0.73 |
1.1 |
0.74 |
0.88 |
0.85 |
0.91 |
2 |
2.3 |
|
ElasticNetCV |
~b-reg-64 |
default |
OK 13/ |
1.4 |
1.4 |
1.5 |
1.9 |
4.7 |
1.3 |
1.8 |
1.4 |
1.4 |
1.4 |
1.6 |
1.9 |
2 |
3.8 |
6.3 |
|
HuberRegressor |
b-reg |
default |
OK 15/1 |
0.83 |
0.77 |
0.77 |
0.87 |
1.2 |
0.71 |
2.1 |
0.74 |
1 |
0.75 |
0.8 |
0.81 |
0.89 |
1.1 |
1.2 |
|
HuberRegressor |
~b-reg-64 |
default |
OK 13/ |
1.5 |
1.5 |
1.6 |
2 |
5.6 |
1.3 |
1.8 |
1.4 |
1.5 |
1.5 |
1.6 |
2 |
2.1 |
5.5 |
5.7 |
|
Lars |
b-reg |
default |
OK 15/1 |
0.77 |
0.78 |
0.78 |
0.91 |
2 |
0.72 |
0.86 |
0.76 |
1 |
0.76 |
0.8 |
0.89 |
0.93 |
1.8 |
2.1 |
|
Lars |
m-reg |
default |
OK 15/1 |
0.77 |
0.75 |
0.76 |
0.83 |
0.68 |
0.75 |
0.87 |
0.72 |
0.99 |
0.74 |
0.78 |
0.8 |
0.86 |
0.66 |
0.7 |
|
Lars |
~b-reg-64 |
default |
OK 13/ |
1.4 |
1.4 |
1.5 |
2 |
5.5 |
1.3 |
1.8 |
1.4 |
1.4 |
1.4 |
1.5 |
1.9 |
2 |
5.3 |
5.6 |
|
Lars |
~m-reg-64 |
default |
OK 13/ |
1.4 |
1.4 |
1.4 |
1.6 |
1.7 |
1.3 |
1.8 |
1.3 |
1.4 |
1.4 |
1.5 |
1.6 |
1.6 |
1.7 |
1.7 |
|
LarsCV |
b-reg |
default |
OK 15/1 |
0.79 |
0.76 |
0.76 |
0.89 |
2.1 |
0.6 |
1.8 |
0.74 |
1 |
0.74 |
0.77 |
0.85 |
0.92 |
2 |
2.2 |
|
LarsCV |
~b-reg-64 |
default |
OK 13/ |
1.4 |
1.4 |
1.4 |
1.9 |
5.6 |
1.3 |
1.7 |
1.4 |
1.4 |
1.4 |
1.5 |
1.8 |
2 |
5.4 |
5.8 |
|
Lasso |
b-reg |
default |
OK 15/1 |
0.72 |
0.7 |
0.7 |
0.82 |
0.91 |
0.65 |
1.1 |
0.69 |
0.95 |
0.69 |
0.72 |
0.78 |
0.84 |
0.83 |
1 |
|
Lasso |
m-reg |
default |
OK 15/1 |
0.69 |
0.68 |
0.69 |
0.76 |
0.69 |
0.67 |
0.78 |
0.65 |
0.9 |
0.67 |
0.7 |
0.73 |
0.78 |
0.67 |
0.71 |
|
Lasso |
~b-reg-64 |
default |
OK 13/ |
1.3 |
1.3 |
1.3 |
1.8 |
4.8 |
1.2 |
1.6 |
1.3 |
1.3 |
1.3 |
1.4 |
1.7 |
1.8 |
4.7 |
4.8 |
|
Lasso |
~m-reg-64 |
default |
OK 13/ |
1.3 |
1.2 |
1.3 |
1.5 |
1.6 |
1.1 |
1.6 |
1.2 |
1.3 |
1.3 |
1.4 |
1.4 |
1.5 |
1.6 |
1.6 |
|
LassoCV |
b-reg |
default |
OK 15/1 |
0.76 |
0.77 |
0.76 |
0.89 |
2 |
0.72 |
0.85 |
0.74 |
1.1 |
0.74 |
0.78 |
0.88 |
0.92 |
1.9 |
2.1 |
|
LassoCV |
~b-reg-64 |
default |
OK 13/ |
1.4 |
1.4 |
1.5 |
2 |
5.2 |
1.3 |
1.8 |
1.4 |
1.4 |
1.4 |
1.5 |
1.9 |
2 |
5 |
5.4 |
|
LassoLars |
b-reg |
default |
OK 15/1 |
0.84 |
0.79 |
0.8 |
0.93 |
2.2 |
0.73 |
2.1 |
0.77 |
1 |
0.78 |
0.82 |
0.89 |
0.97 |
2.1 |
2.3 |
|
LassoLars |
m-reg |
default |
OK 15/1 |
0.78 |
0.77 |
0.78 |
0.83 |
0.72 |
0.75 |
0.88 |
0.74 |
1 |
0.76 |
0.79 |
0.79 |
0.87 |
0.7 |
0.74 |
|
LassoLars |
~b-reg-64 |
default |
OK 13/ |
1.5 |
1.5 |
1.5 |
2 |
5.5 |
1.3 |
1.8 |
1.4 |
1.5 |
1.5 |
1.5 |
1.9 |
2.1 |
5.3 |
5.8 |
|
LassoLars |
~m-reg-64 |
default |
OK 13/ |
1.5 |
1.4 |
1.5 |
1.6 |
1.7 |
1.3 |
1.8 |
1.3 |
1.5 |
1.4 |
1.5 |
1.6 |
1.7 |
1.7 |
1.7 |
|
LassoLarsCV |
b-reg |
default |
OK 15/1 |
0.75 |
0.77 |
0.78 |
0.9 |
2.1 |
0.52 |
0.86 |
0.74 |
0.98 |
0.76 |
0.8 |
0.87 |
0.93 |
2 |
2.3 |
|
LassoLarsCV |
~b-reg-64 |
default |
OK 13/ |
1.4 |
1.4 |
1.5 |
1.9 |
1.5 |
1.3 |
2.2 |
1.4 |
1.5 |
1.4 |
1.6 |
1.9 |
2 |
0.99 |
2.8 |
|
LassoLarsIC |
b-reg |
default |
OK 15/1 |
0.77 |
0.78 |
0.78 |
0.91 |
2.2 |
0.73 |
0.86 |
0.76 |
1.1 |
0.76 |
0.79 |
0.87 |
0.93 |
2 |
2.4 |
|
LassoLarsIC |
~b-reg-64 |
default |
OK 13/ |
1.4 |
1.4 |
1.5 |
2 |
5.6 |
1.3 |
1.8 |
1.4 |
1.4 |
1.5 |
1.5 |
1.9 |
2 |
5.3 |
5.9 |
|
LinearRegression |
b-reg |
default |
OK 15/1 |
0.85 |
0.8 |
0.8 |
0.93 |
2.2 |
0.74 |
2.1 |
0.77 |
1 |
0.78 |
0.82 |
0.92 |
0.96 |
2.1 |
2.5 |
|
LinearRegression |
m-reg |
default |
OK 15/1 |
0.79 |
0.78 |
0.78 |
0.83 |
0.72 |
0.76 |
0.88 |
0.75 |
1 |
0.75 |
0.8 |
0.81 |
0.85 |
0.71 |
0.72 |
|
LinearRegression |
~b-reg-64 |
default |
OK 13/ |
1.4 |
1.4 |
1.5 |
2 |
5.8 |
1.3 |
1.8 |
1.4 |
1.5 |
1.5 |
1.6 |
2 |
2.1 |
5.6 |
5.9 |
|
LinearRegression |
~m-reg-64 |
default |
OK 13/ |
1.5 |
1.4 |
1.5 |
1.6 |
1.7 |
1.3 |
1.8 |
1.3 |
1.5 |
1.4 |
1.5 |
1.6 |
1.7 |
1.7 |
1.7 |
|
LogisticRegression |
b-cl |
liblinear |
OK 9/1 |
1.2 |
1.1 |
1.4 |
4 |
11 |
0.94 |
3.6 |
0.96 |
1.1 |
1.3 |
1.5 |
3.7 |
4.3 |
11 |
12 |
|
LogisticRegression |
b-cl |
liblinear |
{‘zipmap’: False} |
OK 15/1 |
0.67 |
0.7 |
0.81 |
0.83 |
1.1 |
0.62 |
0.84 |
0.63 |
0.73 |
0.63 |
1.8 |
0.75 |
0.89 |
1.1 |
1.1 |
LogisticRegression |
m-cl |
liblinear |
OK 9/1 |
1.1 |
1.1 |
1.5 |
3 |
4.6 |
1.1 |
1.5 |
1 |
1.2 |
1.3 |
1.5 |
2.8 |
3.1 |
4.5 |
4.7 |
|
LogisticRegression |
m-cl |
liblinear |
{‘zipmap’: False} |
OK 15/1 |
0.74 |
0.73 |
0.78 |
0.52 |
0.43 |
0.69 |
0.92 |
0.68 |
0.76 |
0.61 |
1.7 |
0.49 |
0.55 |
0.43 |
0.43 |
LogisticRegression |
~b-cl-64 |
liblinear |
{‘zipmap’: False} |
OK 13/1 |
2.4 |
2.6 |
2.6 |
2.9 |
1.5 |
2.2 |
3 |
2.3 |
4.7 |
2.2 |
2.7 |
2.8 |
3.1 |
1.1 |
2.2 |
LogisticRegression |
~b-cl-dec |
liblinear-dec |
{‘raw_scores’: True, ‘zipmap’: False} |
OK 15/1 |
0.77 |
0.79 |
0.78 |
1 |
0.23 |
0.73 |
0.89 |
0.71 |
1.1 |
0.71 |
0.85 |
0.87 |
1.1 |
0.19 |
0.3 |
LogisticRegression |
~m-cl-dec |
liblinear-dec |
{‘raw_scores’: True, ‘zipmap’: False} |
OK 15/1 |
0.78 |
0.78 |
0.8 |
0.83 |
0.74 |
0.73 |
0.91 |
0.71 |
1.1 |
0.73 |
0.88 |
0.76 |
0.88 |
0.7 |
0.77 |
LogisticRegressionCV |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
0.91 |
0.67 |
0.77 |
0.79 |
0.97 |
0.36 |
3.8 |
0.62 |
0.71 |
0.61 |
1.7 |
0.74 |
0.86 |
0.95 |
1 |
LogisticRegressionCV |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
0.56 |
0.55 |
0.61 |
0.48 |
0.39 |
0.52 |
0.69 |
0.51 |
0.59 |
0.5 |
1.3 |
0.46 |
0.49 |
0.39 |
0.39 |
MultiTaskElasticNet |
m-reg |
default |
OK 15/1 |
0.68 |
0.69 |
0.68 |
0.76 |
0.69 |
0.64 |
0.77 |
0.66 |
0.92 |
0.67 |
0.7 |
0.73 |
0.78 |
0.68 |
0.7 |
|
MultiTaskElasticNetCV |
m-reg |
default |
OK 15/1 |
0.74 |
0.74 |
0.74 |
0.8 |
0.71 |
0.69 |
0.83 |
0.72 |
1 |
0.71 |
0.75 |
0.77 |
0.83 |
0.68 |
0.74 |
|
MultiTaskLasso |
m-reg |
default |
OK 15/1 |
0.68 |
0.68 |
0.69 |
0.76 |
0.67 |
0.65 |
0.77 |
0.65 |
0.89 |
0.66 |
0.73 |
0.73 |
0.79 |
0.65 |
0.7 |
|
MultiTaskLassoCV |
m-reg |
default |
OK 15/1 |
0.76 |
0.76 |
0.76 |
0.83 |
0.72 |
0.7 |
0.85 |
0.73 |
0.96 |
0.73 |
0.79 |
0.78 |
0.87 |
0.69 |
0.75 |
|
Ridge |
b-reg |
default |
OK 15/1 |
0.79 |
0.8 |
0.81 |
0.92 |
2.1 |
0.74 |
0.88 |
0.78 |
1 |
0.78 |
0.82 |
0.88 |
0.95 |
2 |
2.3 |
|
Ridge |
m-reg |
default |
OK 15/1 |
0.79 |
0.77 |
0.78 |
0.83 |
0.71 |
0.76 |
0.88 |
0.74 |
0.98 |
0.76 |
0.79 |
0.81 |
0.85 |
0.68 |
0.73 |
|
Ridge |
~b-reg-64 |
default |
OK 13/ |
1.5 |
1.5 |
1.5 |
2 |
5.6 |
1.4 |
1.8 |
1.4 |
1.5 |
1.5 |
1.5 |
2 |
2.1 |
5.4 |
5.8 |
|
Ridge |
~m-reg-64 |
default |
OK 13/ |
1.5 |
1.4 |
1.5 |
1.7 |
1.7 |
1.4 |
1.8 |
1.4 |
1.5 |
1.4 |
1.5 |
1.6 |
1.7 |
1.7 |
1.7 |
|
RidgeCV |
b-reg |
default |
OK 15/1 |
0.75 |
0.76 |
0.75 |
0.84 |
1.2 |
0.71 |
0.84 |
0.74 |
1.1 |
0.73 |
0.76 |
0.81 |
0.87 |
1.1 |
1.2 |
|
RidgeCV |
m-reg |
default |
OK 15/1 |
0.75 |
0.75 |
0.73 |
0.74 |
0.51 |
0.7 |
0.85 |
0.72 |
0.99 |
0.71 |
0.74 |
0.72 |
0.77 |
0.5 |
0.53 |
|
RidgeCV |
~b-reg-64 |
default |
OK 13/ |
1.4 |
1.4 |
1.5 |
2 |
5.5 |
1.3 |
1.8 |
1.4 |
1.5 |
1.5 |
1.5 |
1.9 |
2.1 |
5.5 |
5.6 |
|
RidgeCV |
~m-reg-64 |
default |
OK 13/ |
1.5 |
1.4 |
1.5 |
1.6 |
1.7 |
1.4 |
1.8 |
1.3 |
1.5 |
1.4 |
1.5 |
1.6 |
1.7 |
1.7 |
1.7 |
|
RidgeClassifier |
~b-cl-nop |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
1 |
1 |
1.2 |
1.8 |
0.94 |
1.2 |
0.99 |
1.5 |
0.99 |
1.1 |
1.1 |
1.2 |
1.7 |
1.8 |
RidgeClassifier |
~m-cl-nop |
default |
{‘zipmap’: False} |
OK 15/1 |
0.77 |
0.75 |
0.76 |
0.75 |
0.67 |
0.75 |
0.86 |
0.72 |
0.98 |
0.74 |
0.77 |
0.73 |
0.78 |
0.66 |
0.68 |
RidgeClassifierCV |
~b-cl-nop |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
1 |
1 |
1.1 |
1.2 |
0.92 |
1.9 |
0.99 |
1.4 |
0.98 |
1 |
1 |
1.1 |
1.1 |
1.2 |
RidgeClassifierCV |
~m-cl-nop |
default |
{‘zipmap’: False} |
OK 15/1 |
0.75 |
0.73 |
0.73 |
0.67 |
0.54 |
0.73 |
0.84 |
0.7 |
0.98 |
0.71 |
0.75 |
0.65 |
0.7 |
0.54 |
0.55 |
SGDClassifier |
b-cl |
log |
{‘zipmap’: False} |
OK 14/1 |
1.7 |
1.7 |
1.6 |
1.6 |
1.5 |
1.4 |
2.8 |
1.5 |
2.6 |
1.5 |
1.7 |
1.5 |
1.6 |
1.4 |
1.6 |
m-cl |
log |
{‘zipmap’: False} |
ERR: ERROR->=1.0-13/1 |
3.4 |
3.4 |
3 |
2 |
1.2 |
3 |
3.9 |
3.1 |
5.4 |
2.8 |
3.1 |
1.9 |
2.1 |
1.1 |
1.2 |
|
SGDClassifier |
~b-cl-64 |
log |
{‘zipmap’: False} |
OK 14/1 |
2.2 |
2.1 |
2.1 |
2.3 |
4 |
1.8 |
5.5 |
1.9 |
2.3 |
2 |
2.2 |
2.1 |
2.4 |
2.8 |
5.2 |
SGDRegressor |
b-reg |
default |
OK 15/1 |
1.1 |
0.77 |
0.75 |
0.85 |
0.4 |
0.74 |
5.1 |
0.7 |
1.1 |
0.65 |
0.82 |
0.79 |
0.92 |
0.28 |
0.62 |
|
SGDRegressor |
~b-reg-64 |
default |
OK 13/ |
1.5 |
1.5 |
1.6 |
2 |
5.1 |
1.3 |
1.8 |
1.3 |
2.4 |
1.5 |
1.7 |
1.9 |
2.2 |
4.7 |
5.6 |
|
TheilSenRegressor |
b-reg |
default |
OK 15/1 |
0.72 |
0.73 |
0.72 |
0.81 |
1.1 |
0.69 |
0.77 |
0.71 |
0.98 |
0.7 |
0.74 |
0.76 |
0.85 |
1 |
1.1 |
|
TheilSenRegressor |
~b-reg-64 |
default |
OK 13/ |
1.4 |
1.4 |
1.5 |
2 |
2.6 |
1.3 |
1.8 |
1.4 |
1.4 |
1.5 |
1.5 |
1.9 |
2 |
2.4 |
2.9 |
LinearDiscriminantAnalysis#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
b-cl |
default |
e<0.001 9/1 |
3 |
||
LinearDiscriminantAnalysis |
m-cl |
default |
OK 9/1 |
3 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b-cl |
default |
e<0.001 9/1 |
1.0.2 |
1 |
1 |
1 |
5.6e+02 |
3 |
0 |
skl2onnx |
1.1 |
1 |
5.6e+02 |
3 |
0 |
1 |
1 |
||||||||||||
LinearDiscriminantAnalysis |
m-cl |
default |
OK 9/1 |
1.0.2 |
1 |
3 |
1 |
5.9e+02 |
3 |
0 |
skl2onnx |
1.1 |
1 |
5.9e+02 |
3 |
0 |
1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b-cl |
default |
e<0.001 9/1 |
0.92 |
0.97 |
1.3 |
4.6 |
19 |
0.83 |
1.1 |
0.87 |
1.5 |
1.2 |
1.4 |
4.3 |
4.8 |
18 |
20 |
||
LinearDiscriminantAnalysis |
m-cl |
default |
OK 9/1 |
0.68 |
0.72 |
0.97 |
2.3 |
3.6 |
0.6 |
0.83 |
0.65 |
1.1 |
0.87 |
1 |
2.2 |
2.3 |
3.5 |
3.7 |
LocalOutlierFactor#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
LocalOutlierFactor |
outlier |
novelty |
OK 15/ |
26 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
LocalOutlierFactor |
outlier |
novelty |
OK 15/ |
1.0.2 |
1 |
1.4e+04 |
26 |
13 |
skl2onnx |
1.1 |
1.4e+04 |
25 |
13 |
1 |
2 |
1 |
1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
LocalOutlierFactor |
outlier |
novelty |
OK 15/ |
2.2 |
1.6 |
1.5 |
2 |
1.8 |
2.1 |
2.6 |
1.6 |
2.7 |
1.5 |
1.6 |
1.9 |
2 |
1.7 |
1.8 |
MLP#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
MLPClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 14/1 |
13 |
MLPClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 14/1 |
12 |
MLPClassifier |
~b-cl-64 |
default |
{‘zipmap’: False} |
OK 14/1 |
13 |
MLPClassifier |
~m-label |
default |
{‘zipmap’: False} |
OK 14/1 |
10 |
MLPRegressor |
b-reg |
default |
OK 14/ |
7 |
|
MLPRegressor |
m-reg |
default |
OK 14/ |
7 |
|
MLPRegressor |
~b-reg-64 |
default |
OK 14/ |
7 |
|
MLPRegressor |
~m-reg-64 |
default |
OK 14/ |
7 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MLPClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 14/1 |
1.0.2 |
1 |
3.6e+03 |
13 |
7 |
skl2onnx |
1.1 |
1 |
3.6e+03 |
13 |
7 |
1 |
2 |
-1 |
|||||||||||
MLPClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 14/1 |
1.0.2 |
1 |
4.3e+03 |
12 |
6 |
skl2onnx |
1.1 |
1 |
4.2e+03 |
11 |
6 |
1 |
2 |
1 |
|||||||||||
MLPClassifier |
~b-cl-64 |
default |
{‘zipmap’: False} |
OK 14/1 |
1.0.2 |
1 |
6e+03 |
13 |
7 |
skl2onnx |
1.1 |
1 |
6e+03 |
13 |
7 |
1 |
2 |
-1 |
|||||||||||
MLPClassifier |
~m-label |
default |
{‘zipmap’: False} |
OK 14/1 |
1.0.2 |
1 |
4e+03 |
10 |
4 |
skl2onnx |
1.1 |
1 |
4e+03 |
9 |
4 |
-1 |
2 |
1 |
|||||||||||
MLPRegressor |
b-reg |
default |
OK 14/ |
1.0.2 |
1 |
3e+03 |
7 |
5 |
skl2onnx |
1.1 |
3e+03 |
7 |
5 |
1 |
1 |
||||||||||||||
MLPRegressor |
m-reg |
default |
OK 14/ |
1.0.2 |
1 |
3.4e+03 |
7 |
5 |
skl2onnx |
1.1 |
3.4e+03 |
7 |
5 |
1 |
1 |
||||||||||||||
MLPRegressor |
~b-reg-64 |
default |
OK 14/ |
1.0.2 |
1 |
5.4e+03 |
7 |
5 |
skl2onnx |
1.1 |
5.4e+03 |
7 |
5 |
1 |
1 |
||||||||||||||
MLPRegressor |
~m-reg-64 |
default |
OK 14/ |
1.0.2 |
1 |
6.2e+03 |
7 |
5 |
skl2onnx |
1.1 |
6.2e+03 |
7 |
5 |
1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MLPClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 14/1 |
1.6 |
1.6 |
1.2 |
0.65 |
0.37 |
1.4 |
1.8 |
1.4 |
2.6 |
0.83 |
1.5 |
0.64 |
0.67 |
0.35 |
0.39 |
MLPClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 14/1 |
1.4 |
1.4 |
1.1 |
0.51 |
0.27 |
1.4 |
1.6 |
1.3 |
2.1 |
1 |
1.2 |
0.5 |
0.52 |
0.24 |
0.32 |
MLPClassifier |
~b-cl-64 |
default |
{‘zipmap’: False} |
OK 14/1 |
2.1 |
2.1 |
1.6 |
0.72 |
0.54 |
1.9 |
2.5 |
1.8 |
3.3 |
1.5 |
1.7 |
0.68 |
0.77 |
0.44 |
0.68 |
MLPClassifier |
~m-label |
default |
{‘zipmap’: False} |
OK 14/1 |
1.3 |
1.2 |
0.99 |
0.46 |
0.34 |
1.3 |
1.6 |
1.1 |
2.1 |
0.88 |
1 |
0.44 |
0.49 |
0.34 |
0.34 |
MLPRegressor |
b-reg |
default |
OK 14/ |
1 |
0.97 |
0.77 |
0.48 |
0.3 |
0.91 |
1.2 |
0.85 |
1.4 |
0.37 |
0.95 |
0.43 |
0.5 |
0.28 |
0.32 |
|
MLPRegressor |
m-reg |
default |
OK 14/ |
0.95 |
0.89 |
0.79 |
0.29 |
0.31 |
0.9 |
1.1 |
0.82 |
1.2 |
0.74 |
0.83 |
0.21 |
0.34 |
0.3 |
0.31 |
|
MLPRegressor |
~b-reg-64 |
default |
OK 14/ |
1.6 |
1.5 |
1.2 |
0.56 |
0.5 |
1.5 |
1.8 |
1.4 |
2.1 |
1.1 |
1.3 |
0.5 |
0.59 |
0.4 |
0.62 |
|
MLPRegressor |
~m-reg-64 |
default |
OK 14/ |
1.6 |
1.5 |
1.2 |
0.38 |
0.55 |
1.4 |
2 |
1.4 |
2.1 |
1.1 |
1.2 |
0.37 |
0.41 |
0.48 |
0.61 |
MeanShift#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
MeanShift |
cluster |
default |
|||
MeanShift |
~b-clu-64 |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
MeanShift |
cluster |
default |
NO CONVERTER |
||
MeanShift |
~b-clu-64 |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MeanShift |
cluster |
default |
1.0.2 |
1 |
|||||||||||||||||||||||||
MeanShift |
~b-clu-64 |
default |
1.0.2 |
1 |
MiniBatch…#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
MiniBatchDictionaryLearning |
num-tr |
default |
|||
MiniBatchSparsePCA |
num-tr |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
MiniBatchDictionaryLearning |
num-tr |
default |
NO CONVERTER |
||
MiniBatchSparsePCA |
num-tr |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MiniBatchDictionaryLearning |
num-tr |
default |
1.0.2 |
1 |
|||||||||||||||||||||||||
MiniBatchSparsePCA |
num-tr |
default |
1.0.2 |
1 |
MissingIndicator#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
MissingIndicator |
num-tr |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
MissingIndicator |
num-tr |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MissingIndicator |
num-tr |
default |
1.0.2 |
1 |
MultiLabelBinarizer#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
MultiLabelBinarizer |
num-tr |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
MultiLabelBinarizer |
num-tr |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MultiLabelBinarizer |
num-tr |
default |
1.0.2 |
1 |
MultiOutput#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
MultiOutputClassifier |
m-cl |
logreg |
ERR: 1training_time |
-1 |
|
MultiOutputClassifier |
~m-label |
logreg |
{‘zipmap’: False} |
OK 15/1 |
11 |
MultiOutputRegressor |
m-reg |
linreg |
OK 15/1 |
5 |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
MultiOutputClassifier |
m-cl |
logreg |
ERR: 1training_time |
y must have at least two dimensions for multi-output regression but has onl… |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MultiOutputClassifier |
m-cl |
logreg |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
||||||||||||||
MultiOutputClassifier |
~m-label |
logreg |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
4 |
3 |
3 |
1.6e+03 |
11 |
1 |
skl2onnx |
1.1 |
1 |
1.6e+03 |
11 |
1 |
3 |
|||||||||||
MultiOutputRegressor |
m-reg |
linreg |
OK 15/1 |
1.0.2 |
3 |
8 |
2 |
6.6e+02 |
5 |
1 |
skl2onnx |
1.1 |
1 |
6.6e+02 |
5 |
1 |
2 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MultiOutputClassifier |
~m-label |
logreg |
{‘zipmap’: False} |
OK 15/1 |
0.75 |
0.84 |
0.83 |
0.91 |
1.1 |
0.4 |
0.97 |
0.76 |
1.4 |
0.78 |
0.89 |
0.85 |
0.95 |
1 |
1.1 |
MultiOutputRegressor |
m-reg |
linreg |
OK 15/1 |
0.027 |
0.029 |
0.027 |
0.033 |
0.082 |
0.025 |
0.035 |
0.026 |
0.049 |
0.026 |
0.029 |
0.032 |
0.034 |
0.082 |
0.083 |
NMF#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
NMF |
num-tr-pos |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
NMF |
num-tr-pos |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
NMF |
num-tr-pos |
default |
1.0.2 |
1 |
NearestCentroid#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
NearestCentroid |
~b-cl-nop |
default |
|||
NearestCentroid |
~b-cl-nop-64 |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
NearestCentroid |
~b-cl-nop |
default |
NO CONVERTER |
||
NearestCentroid |
~b-cl-nop-64 |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
NearestCentroid |
~b-cl-nop |
default |
1.0.2 |
1 |
|||||||||||||||||||||||||
NearestCentroid |
~b-cl-nop-64 |
default |
1.0.2 |
1 |
NeighborhoodComponentsAnalysis#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
NeighborhoodComponentsAnalysis |
num+y-tr |
default |
ERR: 1training_time |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
NeighborhoodComponentsAnalysis |
num+y-tr |
default |
ERR: 1training_time |
Unknown label type: ‘continuous’ |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
NeighborhoodComponentsAnalysis |
num+y-tr |
default |
ERR: 1training_time |
1.0.2 |
Neighbors#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
KNeighborsClassifier |
b-cl |
default_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
18 |
KNeighborsClassifier |
b-cl |
weights_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
23 |
KNeighborsClassifier |
m-cl |
default_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
21 |
m-cl |
weights_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
e<0.1 15/1 |
27 |
|
KNeighborsClassifier |
~b-cl-64 |
default_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
18 |
KNeighborsClassifier |
~b-cl-64 |
weights_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
23 |
KNeighborsClassifier |
~m-label |
default_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
54 |
~m-label |
weights_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
ERR: ERROR->=0.3-15/1 |
69 |
|
KNeighborsRegressor |
b-reg |
default_k3 |
cdist |
OK 14/1 |
7 |
b-reg |
weights_k3 |
cdist |
e<0.1 15/1 |
16 |
|
KNeighborsRegressor |
m-reg |
default_k3 |
cdist |
OK 14/1 |
8 |
m-reg |
weights_k3 |
cdist |
e<0.1 15/1 |
21 |
|
KNeighborsRegressor |
~b-reg-64 |
default_k3 |
cdist |
OK 14/1 |
7 |
~b-reg-64 |
weights_k3 |
cdist |
e<0.1 15/1 |
16 |
|
KNeighborsRegressor |
~m-reg-64 |
default_k3 |
cdist |
OK 14/1 |
8 |
~m-reg-64 |
weights_k3 |
cdist |
ERR: 5ort_load |
21 |
|
KNeighborsTransformer |
num-tr |
default |
OK 15/ |
16 |
|
RadiusNeighborsClassifier |
~b-cl-nop |
default_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
28 |
RadiusNeighborsClassifier |
~b-cl-nop |
weights_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
34 |
RadiusNeighborsClassifier |
~m-cl-nop |
default_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
32 |
RadiusNeighborsClassifier |
~m-cl-nop |
weights_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
38 |
RadiusNeighborsRegressor |
b-reg |
default_k3 |
OK 15/1 |
27 |
|
RadiusNeighborsRegressor |
b-reg |
default_k3 |
cdist |
OK 15/1 |
21 |
RadiusNeighborsRegressor |
b-reg |
weights_k3 |
cdist |
OK 15/1 |
27 |
RadiusNeighborsRegressor |
m-reg |
default_k3 |
OK 15/1 |
32 |
|
RadiusNeighborsRegressor |
m-reg |
default_k3 |
cdist |
OK 15/1 |
26 |
RadiusNeighborsRegressor |
m-reg |
weights_k3 |
cdist |
OK 15/1 |
32 |
RadiusNeighborsRegressor |
~b-reg-64 |
default_k3 |
OK 15/1 |
27 |
|
RadiusNeighborsRegressor |
~b-reg-64 |
default_k3 |
cdist |
OK 15/1 |
21 |
RadiusNeighborsRegressor |
~b-reg-64 |
weights_k3 |
cdist |
OK 15/1 |
27 |
~m-reg-64 |
default_k3 |
ERR: 5ort_load |
32 |
||
~m-reg-64 |
default_k3 |
cdist |
ERR: 5ort_load |
26 |
|
~m-reg-64 |
weights_k3 |
cdist |
ERR: 5ort_load |
32 |
|
RadiusNeighborsTransformer |
num-tr |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
~m-reg-64 |
weights_k3 |
cdist |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : T… |
|
~m-reg-64 |
default_k3 |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : T… |
||
~m-reg-64 |
default_k3 |
cdist |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : T… |
|
~m-reg-64 |
weights_k3 |
cdist |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : T… |
|
RadiusNeighborsTransformer |
num-tr |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
KNeighborsClassifier |
b-cl |
default_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
3.9e+03 |
18 |
8 |
skl2onnx |
1.1 |
1 |
3.9e+03 |
18 |
8 |
2 |
3 |
1 |
|||||||||||
KNeighborsClassifier |
b-cl |
weights_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
4.2e+03 |
23 |
10 |
skl2onnx |
1.1 |
1 |
4.2e+03 |
23 |
10 |
2 |
3 |
1 |
|||||||||||
KNeighborsClassifier |
m-cl |
default_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
4.1e+03 |
21 |
9 |
skl2onnx |
1.1 |
1 |
4.1e+03 |
21 |
9 |
2 |
4 |
1 |
|||||||||||
m-cl |
weights_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
e<0.1 15/1 |
1.0.2 |
1 |
4.5e+03 |
27 |
11 |
skl2onnx |
1.1 |
1 |
4.5e+03 |
27 |
11 |
2 |
4 |
1 |
||||||||||||
KNeighborsClassifier |
~b-cl-64 |
default_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
5.7e+03 |
18 |
8 |
skl2onnx |
1.1 |
1 |
5.7e+03 |
18 |
8 |
2 |
3 |
1 |
|||||||||||
KNeighborsClassifier |
~b-cl-64 |
weights_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
6e+03 |
23 |
10 |
skl2onnx |
1.1 |
1 |
6e+03 |
23 |
10 |
2 |
3 |
1 |
|||||||||||
KNeighborsClassifier |
~m-label |
default_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
7.2e+03 |
54 |
10 |
skl2onnx |
1.1 |
1 |
7.1e+03 |
52 |
10 |
7 |
7 |
1 |
|||||||||||
~m-label |
weights_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
ERR: ERROR->=0.3-15/1 |
1.0.2 |
1 |
8.2e+03 |
69 |
13 |
skl2onnx |
1.1 |
1 |
8e+03 |
67 |
13 |
7 |
7 |
1 |
||||||||||||
KNeighborsRegressor |
b-reg |
default_k3 |
cdist |
OK 14/1 |
1.0.2 |
1 |
3.1e+03 |
7 |
4 |
skl2onnx |
1.1 |
1 |
3.1e+03 |
7 |
4 |
1 |
1 |
1 |
|||||||||||
b-reg |
weights_k3 |
cdist |
e<0.1 15/1 |
1.0.2 |
1 |
3.8e+03 |
16 |
8 |
skl2onnx |
1.1 |
1 |
3.8e+03 |
16 |
8 |
3 |
1 |
1 |
||||||||||||
KNeighborsRegressor |
m-reg |
default_k3 |
cdist |
OK 14/1 |
1.0.2 |
1 |
3.6e+03 |
8 |
4 |
skl2onnx |
1.1 |
1 |
3.6e+03 |
8 |
4 |
1 |
1 |
1 |
|||||||||||
m-reg |
weights_k3 |
cdist |
e<0.1 15/1 |
1.0.2 |
1 |
4.6e+03 |
21 |
9 |
skl2onnx |
1.1 |
1 |
4.6e+03 |
21 |
9 |
2 |
1 |
1 |
||||||||||||
KNeighborsRegressor |
~b-reg-64 |
default_k3 |
cdist |
OK 14/1 |
1.0.2 |
1 |
5.3e+03 |
7 |
4 |
skl2onnx |
1.1 |
1 |
5.3e+03 |
7 |
4 |
1 |
1 |
1 |
|||||||||||
~b-reg-64 |
weights_k3 |
cdist |
e<0.1 15/1 |
1.0.2 |
1 |
6e+03 |
16 |
8 |
skl2onnx |
1.1 |
1 |
6e+03 |
16 |
8 |
3 |
1 |
1 |
||||||||||||
KNeighborsRegressor |
~m-reg-64 |
default_k3 |
cdist |
OK 14/1 |
1.0.2 |
1 |
6.3e+03 |
8 |
4 |
skl2onnx |
1.1 |
1 |
6.3e+03 |
8 |
4 |
1 |
1 |
1 |
|||||||||||
~m-reg-64 |
weights_k3 |
cdist |
ERR: 5ort_load |
1.0.2 |
1 |
7.3e+03 |
21 |
9 |
skl2onnx |
1.1 |
1 |
7.3e+03 |
21 |
9 |
2 |
1 |
1 |
||||||||||||
KNeighborsTransformer |
num-tr |
default |
OK 15/ |
1.0.2 |
1 |
3.4e+03 |
16 |
6 |
skl2onnx |
1.1 |
3.3e+03 |
15 |
6 |
2 |
1 |
2 |
1 |
1 |
1 |
||||||||||
RadiusNeighborsClassifier |
~b-cl-nop |
default_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
4.5e+03 |
28 |
8 |
skl2onnx |
1.1 |
1 |
4.5e+03 |
28 |
8 |
2 |
5 |
1 |
|||||||||||
RadiusNeighborsClassifier |
~b-cl-nop |
weights_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
4.9e+03 |
34 |
9 |
skl2onnx |
1.1 |
1 |
4.9e+03 |
34 |
9 |
2 |
6 |
1 |
|||||||||||
RadiusNeighborsClassifier |
~m-cl-nop |
default_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
4.8e+03 |
32 |
9 |
skl2onnx |
1.1 |
1 |
4.8e+03 |
32 |
9 |
2 |
6 |
1 |
|||||||||||
RadiusNeighborsClassifier |
~m-cl-nop |
weights_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
5.2e+03 |
38 |
10 |
skl2onnx |
1.1 |
1 |
5.2e+03 |
38 |
10 |
2 |
7 |
1 |
|||||||||||
RadiusNeighborsRegressor |
b-reg |
default_k3 |
OK 15/1 |
1.0.2 |
1 |
4.6e+03 |
27 |
6 |
skl2onnx |
1.1 |
1 |
4.5e+03 |
26 |
6 |
3 |
3 |
-1 |
2 |
1 |
1 |
1 |
||||||||
RadiusNeighborsRegressor |
b-reg |
default_k3 |
cdist |
OK 15/1 |
1.0.2 |
1 |
4.1e+03 |
21 |
6 |
skl2onnx |
1.1 |
1 |
4.1e+03 |
21 |
6 |
3 |
3 |
1 |
-1 |
-1 |
-1 |
-1 |
|||||||
RadiusNeighborsRegressor |
b-reg |
weights_k3 |
cdist |
OK 15/1 |
1.0.2 |
1 |
4.5e+03 |
27 |
7 |
skl2onnx |
1.1 |
1 |
4.5e+03 |
27 |
7 |
3 |
4 |
1 |
-1 |
-1 |
-1 |
-1 |
|||||||
RadiusNeighborsRegressor |
m-reg |
default_k3 |
OK 15/1 |
1.0.2 |
1 |
5.4e+03 |
32 |
7 |
skl2onnx |
1.1 |
1 |
5.3e+03 |
31 |
7 |
2 |
3 |
-1 |
2 |
1 |
1 |
1 |
||||||||
RadiusNeighborsRegressor |
m-reg |
default_k3 |
cdist |
OK 15/1 |
1.0.2 |
1 |
4.9e+03 |
26 |
7 |
skl2onnx |
1.1 |
1 |
4.9e+03 |
26 |
7 |
2 |
3 |
1 |
-1 |
-1 |
-1 |
-1 |
|||||||
RadiusNeighborsRegressor |
m-reg |
weights_k3 |
cdist |
OK 15/1 |
1.0.2 |
1 |
5.3e+03 |
32 |
8 |
skl2onnx |
1.1 |
1 |
5.3e+03 |
32 |
8 |
2 |
4 |
1 |
-1 |
-1 |
-1 |
-1 |
|||||||
RadiusNeighborsRegressor |
~b-reg-64 |
default_k3 |
OK 15/1 |
1.0.2 |
1 |
6.8e+03 |
27 |
6 |
skl2onnx |
1.1 |
1 |
6.8e+03 |
26 |
6 |
3 |
3 |
-1 |
2 |
1 |
1 |
1 |
||||||||
RadiusNeighborsRegressor |
~b-reg-64 |
default_k3 |
cdist |
OK 15/1 |
1.0.2 |
1 |
6.4e+03 |
21 |
6 |
skl2onnx |
1.1 |
1 |
6.4e+03 |
21 |
6 |
3 |
3 |
1 |
-1 |
-1 |
-1 |
-1 |
|||||||
RadiusNeighborsRegressor |
~b-reg-64 |
weights_k3 |
cdist |
OK 15/1 |
1.0.2 |
1 |
6.8e+03 |
27 |
7 |
skl2onnx |
1.1 |
1 |
6.8e+03 |
27 |
7 |
3 |
4 |
1 |
-1 |
-1 |
-1 |
-1 |
|||||||
~m-reg-64 |
default_k3 |
ERR: 5ort_load |
1.0.2 |
1 |
8.1e+03 |
32 |
7 |
skl2onnx |
1.1 |
1 |
8e+03 |
31 |
7 |
2 |
3 |
-1 |
2 |
1 |
1 |
1 |
|||||||||
~m-reg-64 |
default_k3 |
cdist |
ERR: 5ort_load |
1.0.2 |
1 |
7.6e+03 |
26 |
7 |
skl2onnx |
1.1 |
1 |
7.6e+03 |
26 |
7 |
2 |
3 |
1 |
-1 |
-1 |
-1 |
-1 |
||||||||
~m-reg-64 |
weights_k3 |
cdist |
ERR: 5ort_load |
1.0.2 |
1 |
8e+03 |
32 |
8 |
skl2onnx |
1.1 |
1 |
8e+03 |
32 |
8 |
2 |
4 |
1 |
-1 |
-1 |
-1 |
-1 |
||||||||
RadiusNeighborsTransformer |
num-tr |
default |
1.0.2 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
KNeighborsClassifier |
b-cl |
default_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
0.059 |
0.065 |
0.07 |
0.11 |
0.14 |
0.056 |
0.068 |
0.059 |
0.098 |
0.068 |
0.074 |
0.11 |
0.12 |
0.14 |
0.14 |
KNeighborsClassifier |
b-cl |
weights_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
0.074 |
0.081 |
0.074 |
0.12 |
0.14 |
0.07 |
0.093 |
0.071 |
0.13 |
0.067 |
0.088 |
0.12 |
0.12 |
0.14 |
0.15 |
KNeighborsClassifier |
m-cl |
default_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
0.069 |
0.073 |
0.089 |
0.12 |
0.14 |
0.066 |
0.088 |
0.068 |
0.076 |
0.07 |
0.22 |
0.11 |
0.12 |
0.14 |
0.15 |
m-cl |
weights_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
e<0.1 15/1 |
0.088 |
0.093 |
0.093 |
0.14 |
0.15 |
0.083 |
0.1 |
0.084 |
0.15 |
0.089 |
0.099 |
0.13 |
0.14 |
0.15 |
0.15 |
|
KNeighborsClassifier |
~b-cl-64 |
default_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
0.071 |
0.072 |
0.087 |
0.2 |
0.26 |
0.065 |
0.082 |
0.065 |
0.11 |
0.083 |
0.092 |
0.2 |
0.2 |
0.25 |
0.26 |
KNeighborsClassifier |
~b-cl-64 |
weights_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
0.09 |
0.094 |
0.097 |
0.21 |
0.28 |
0.081 |
0.11 |
0.083 |
0.15 |
0.094 |
0.1 |
0.21 |
0.21 |
0.27 |
0.28 |
KNeighborsClassifier |
~m-label |
default_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
0.17 |
0.18 |
0.19 |
0.38 |
0.38 |
0.16 |
0.21 |
0.16 |
0.28 |
0.19 |
0.21 |
0.37 |
0.38 |
0.38 |
0.38 |
~m-label |
weights_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
ERR: ERROR->=0.3-15/1 |
0.22 |
0.22 |
0.22 |
0.27 |
0.31 |
0.2 |
0.26 |
0.2 |
0.35 |
0.21 |
0.23 |
0.27 |
0.28 |
0.31 |
0.31 |
|
KNeighborsRegressor |
b-reg |
default_k3 |
cdist |
OK 14/1 |
0.027 |
0.028 |
0.034 |
0.083 |
0.12 |
0.026 |
0.031 |
0.026 |
0.04 |
0.032 |
0.036 |
0.081 |
0.084 |
0.12 |
0.13 |
b-reg |
weights_k3 |
cdist |
e<0.1 15/1 |
0.058 |
0.061 |
0.066 |
0.11 |
0.13 |
0.056 |
0.067 |
0.056 |
0.082 |
0.064 |
0.069 |
0.1 |
0.11 |
0.13 |
0.13 |
|
KNeighborsRegressor |
m-reg |
default_k3 |
cdist |
OK 14/1 |
0.03 |
0.031 |
0.037 |
0.087 |
0.12 |
0.029 |
0.035 |
0.029 |
0.044 |
0.036 |
0.039 |
0.084 |
0.09 |
0.12 |
0.13 |
m-reg |
weights_k3 |
cdist |
e<0.1 15/1 |
0.075 |
0.08 |
0.092 |
0.13 |
0.16 |
0.072 |
0.096 |
0.073 |
0.082 |
0.074 |
0.21 |
0.13 |
0.13 |
0.16 |
0.16 |
|
KNeighborsRegressor |
~b-reg-64 |
default_k3 |
cdist |
OK 14/1 |
0.032 |
0.034 |
0.051 |
0.17 |
0.27 |
0.029 |
0.04 |
0.032 |
0.054 |
0.049 |
0.056 |
0.17 |
0.18 |
0.26 |
0.27 |
~b-reg-64 |
weights_k3 |
cdist |
e<0.1 15/1 |
0.069 |
0.07 |
0.084 |
0.2 |
0.27 |
0.063 |
0.08 |
0.063 |
0.11 |
0.081 |
0.088 |
0.2 |
0.2 |
0.27 |
0.27 |
|
KNeighborsRegressor |
~m-reg-64 |
default_k3 |
cdist |
OK 14/1 |
0.036 |
0.038 |
0.056 |
0.17 |
0.25 |
0.033 |
0.043 |
0.035 |
0.057 |
0.054 |
0.059 |
0.17 |
0.19 |
0.25 |
0.25 |
KNeighborsTransformer |
num-tr |
default |
OK 15/ |
2.1 |
1.6 |
1.6 |
2.5 |
3.5 |
2 |
2.6 |
1.5 |
2.6 |
1.6 |
1.7 |
2.5 |
2.5 |
3.5 |
3.6 |
|
RadiusNeighborsClassifier |
~b-cl-nop |
default_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
0.1 |
0.11 |
0.11 |
0.12 |
0.26 |
0.096 |
0.13 |
0.096 |
0.16 |
0.1 |
0.11 |
0.12 |
0.12 |
0.26 |
0.27 |
RadiusNeighborsClassifier |
~b-cl-nop |
weights_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
0.12 |
0.12 |
0.11 |
0.096 |
0.17 |
0.11 |
0.15 |
0.11 |
0.17 |
0.1 |
0.11 |
0.096 |
0.096 |
0.17 |
0.18 |
RadiusNeighborsClassifier |
~m-cl-nop |
default_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
0.12 |
0.12 |
0.12 |
0.13 |
0.27 |
0.11 |
0.14 |
0.11 |
0.18 |
0.11 |
0.12 |
0.13 |
0.14 |
0.27 |
0.27 |
RadiusNeighborsClassifier |
~m-cl-nop |
weights_k3 |
{‘optim’: ‘cdist’, ‘zipmap’: False} |
OK 15/1 |
0.14 |
0.13 |
0.12 |
0.1 |
0.18 |
0.13 |
0.18 |
0.13 |
0.14 |
0.11 |
0.12 |
0.1 |
0.1 |
0.17 |
0.18 |
RadiusNeighborsRegressor |
b-reg |
default_k3 |
OK 15/1 |
1.3 |
1.2 |
0.7 |
0.25 |
0.22 |
1.2 |
1.6 |
1.2 |
2.1 |
0.66 |
0.72 |
0.25 |
0.25 |
0.22 |
0.22 |
|
RadiusNeighborsRegressor |
b-reg |
default_k3 |
cdist |
OK 15/1 |
0.083 |
0.081 |
0.078 |
0.068 |
0.14 |
0.077 |
0.1 |
0.076 |
0.084 |
0.065 |
0.16 |
0.067 |
0.069 |
0.14 |
0.15 |
RadiusNeighborsRegressor |
b-reg |
weights_k3 |
cdist |
OK 15/1 |
0.097 |
0.091 |
0.056 |
0.04 |
0.072 |
0.092 |
0.12 |
0.084 |
0.14 |
0.054 |
0.058 |
0.04 |
0.04 |
0.071 |
0.074 |
RadiusNeighborsRegressor |
m-reg |
default_k3 |
OK 15/1 |
1.3 |
1.3 |
0.73 |
0.27 |
0.24 |
1.2 |
1.6 |
1.2 |
2.3 |
0.72 |
0.74 |
0.27 |
0.28 |
0.24 |
0.24 |
|
RadiusNeighborsRegressor |
m-reg |
default_k3 |
cdist |
OK 15/1 |
0.1 |
0.1 |
0.088 |
0.093 |
0.17 |
0.094 |
0.13 |
0.092 |
0.16 |
0.085 |
0.091 |
0.092 |
0.093 |
0.17 |
0.17 |
RadiusNeighborsRegressor |
m-reg |
weights_k3 |
cdist |
OK 15/1 |
0.11 |
0.11 |
0.067 |
0.051 |
0.078 |
0.11 |
0.14 |
0.098 |
0.16 |
0.064 |
0.069 |
0.051 |
0.051 |
0.077 |
0.079 |
RadiusNeighborsRegressor |
~b-reg-64 |
default_k3 |
OK 15/1 |
1.4 |
1.4 |
0.77 |
0.26 |
0.25 |
1.3 |
1.8 |
1.3 |
2.5 |
0.76 |
0.78 |
0.26 |
0.27 |
0.25 |
0.26 |
|
RadiusNeighborsRegressor |
~b-reg-64 |
default_k3 |
cdist |
OK 15/1 |
0.094 |
0.094 |
0.11 |
0.089 |
0.17 |
0.087 |
0.12 |
0.089 |
0.097 |
0.099 |
0.19 |
0.088 |
0.092 |
0.16 |
0.17 |
RadiusNeighborsRegressor |
~b-reg-64 |
weights_k3 |
cdist |
OK 15/1 |
0.11 |
0.1 |
0.071 |
0.052 |
0.085 |
0.1 |
0.13 |
0.096 |
0.16 |
0.07 |
0.073 |
0.052 |
0.053 |
0.083 |
0.087 |
Nystroem#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
Nystroem |
num-tr |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
Nystroem |
num-tr |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nystroem |
num-tr |
default |
1.0.2 |
1 |
OneHotEncoder#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
OneHotEncoder |
CRASH |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
OneHotEncoder |
CRASH |
Unable to find ‘./bench_onnxruntime1/bench_sum_onnxruntime1_OneHotEncoder.c… |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
OneHotEncoder |
CRASH |
OneVs…#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
OneVsOneClassifier |
~b-cl-nop |
logreg |
|||
OneVsOneClassifier |
~m-cl-nop |
logreg |
|||
OneVsRestClassifier |
b-cl |
logreg |
{‘zipmap’: False} |
OK 15/1 |
14 |
OneVsRestClassifier |
m-cl |
logreg |
{‘zipmap’: False} |
OK 15/1 |
18 |
~b-cl-64 |
logreg |
{‘zipmap’: False} |
ERR: 5ort_load |
23 |
|
OneVsRestClassifier |
~m-label |
logreg |
{‘zipmap’: False} |
OK 15/1 |
17 |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
OneVsOneClassifier |
~b-cl-nop |
logreg |
NO CONVERTER |
||
OneVsOneClassifier |
~m-cl-nop |
logreg |
NO CONVERTER |
||
~b-cl-64 |
logreg |
{‘zipmap’: False} |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 10 : INVALID… |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
OneVsOneClassifier |
~b-cl-nop |
logreg |
1.0.2 |
2 |
1 |
1 |
|||||||||||||||||||||||
OneVsOneClassifier |
~m-cl-nop |
logreg |
1.0.2 |
4 |
3 |
3 |
|||||||||||||||||||||||
OneVsRestClassifier |
b-cl |
logreg |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
2 |
2 |
2 |
1.5e+03 |
14 |
5 |
skl2onnx |
1.1 |
1 |
1.5e+03 |
14 |
5 |
1 |
3 |
1 |
|||||||||
OneVsRestClassifier |
m-cl |
logreg |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
4 |
6 |
4 |
2.1e+03 |
18 |
4 |
skl2onnx |
1.1 |
1 |
2.1e+03 |
18 |
4 |
1 |
3 |
1 |
|||||||||
~b-cl-64 |
logreg |
{‘zipmap’: False} |
ERR: 5ort_load |
1.0.2 |
2 |
2 |
2 |
1.9e+03 |
23 |
7 |
skl2onnx |
1.1 |
1 |
1.6e+03 |
18 |
7 |
2 |
5 |
1 |
||||||||||
OneVsRestClassifier |
~m-label |
logreg |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
4 |
6 |
4 |
1.9e+03 |
17 |
5 |
skl2onnx |
1.1 |
1 |
1.9e+03 |
17 |
5 |
1 |
2 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
OneVsRestClassifier |
b-cl |
logreg |
{‘zipmap’: False} |
OK 15/1 |
1.8 |
1.8 |
1.9 |
3.4 |
7 |
1.6 |
2.1 |
1.7 |
2.9 |
1.8 |
2 |
3.2 |
3.5 |
6.9 |
7.2 |
OneVsRestClassifier |
m-cl |
logreg |
{‘zipmap’: False} |
OK 15/1 |
1 |
1 |
1.2 |
2.2 |
4.8 |
0.94 |
1.2 |
0.94 |
1.5 |
1.1 |
1.3 |
2.1 |
2.3 |
4.7 |
4.9 |
OneVsRestClassifier |
~m-label |
logreg |
{‘zipmap’: False} |
OK 15/1 |
1.1 |
1.1 |
1.3 |
2.6 |
5.5 |
1 |
1.2 |
1.1 |
1.7 |
1.2 |
1.3 |
2.5 |
2.7 |
5.4 |
5.6 |
OrdinalEncoder#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
OrdinalEncoder |
num-tr |
default |
ERR: 3prediction |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
OrdinalEncoder |
num-tr |
default |
ERR: 3prediction |
Found unknown categories [4.03909, 4.312008, 4.366583, 4.3827257, 4.5485244… |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
OrdinalEncoder |
num-tr |
default |
ERR: 3prediction |
1.0.2 |
1 |
OrthogonalMatchingPursuit#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
OrthogonalMatchingPursuit |
b-reg |
default |
OK 15/1 |
1 |
|
OrthogonalMatchingPursuit |
m-reg |
default |
OK 15/1 |
1 |
|
OrthogonalMatchingPursuit |
~b-reg-64 |
default |
OK 13/ |
3 |
|
OrthogonalMatchingPursuit |
~m-reg-64 |
default |
OK 13/ |
3 |
|
OrthogonalMatchingPursuitCV |
b-reg |
default |
OK 15/1 |
1 |
|
OrthogonalMatchingPursuitCV |
~b-reg-64 |
default |
OK 13/ |
3 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
OrthogonalMatchingPursuit |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.7e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.7e+02 |
1 |
0 |
-1 |
||||||||||||
OrthogonalMatchingPursuit |
m-reg |
default |
OK 15/1 |
1.0.2 |
1 |
2 |
1 |
3.1e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
3.1e+02 |
1 |
0 |
-1 |
||||||||||||
OrthogonalMatchingPursuit |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.7e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.7e+02 |
3 |
3 |
1 |
||||||||||||
OrthogonalMatchingPursuit |
~m-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
2 |
1 |
4.1e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
4.1e+02 |
3 |
3 |
1 |
||||||||||||
OrthogonalMatchingPursuitCV |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.7e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.7e+02 |
1 |
0 |
-1 |
||||||||||||
OrthogonalMatchingPursuitCV |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.7e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.7e+02 |
3 |
3 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
OrthogonalMatchingPursuit |
b-reg |
default |
OK 15/1 |
0.75 |
0.76 |
0.75 |
0.85 |
1.1 |
0.7 |
0.84 |
0.74 |
1 |
0.73 |
0.76 |
0.8 |
0.89 |
1.1 |
1.2 |
|
OrthogonalMatchingPursuit |
m-reg |
default |
OK 15/1 |
0.76 |
0.74 |
0.73 |
0.73 |
0.51 |
0.73 |
0.85 |
0.72 |
0.99 |
0.71 |
0.75 |
0.71 |
0.75 |
0.5 |
0.52 |
|
OrthogonalMatchingPursuit |
~b-reg-64 |
default |
OK 13/ |
1.5 |
1.5 |
1.5 |
2 |
5.4 |
1.4 |
1.8 |
1.4 |
1.5 |
1.5 |
1.6 |
2 |
2.1 |
5 |
5.7 |
|
OrthogonalMatchingPursuit |
~m-reg-64 |
default |
OK 13/ |
1.5 |
1.4 |
1.5 |
1.6 |
1.7 |
1.3 |
1.8 |
1.3 |
1.4 |
1.4 |
1.5 |
1.6 |
1.7 |
1.7 |
1.7 |
|
OrthogonalMatchingPursuitCV |
b-reg |
default |
OK 15/1 |
0.78 |
0.81 |
0.81 |
0.9 |
0.71 |
0.56 |
0.9 |
0.79 |
1 |
0.78 |
0.82 |
0.88 |
0.93 |
0.5 |
1.2 |
|
OrthogonalMatchingPursuitCV |
~b-reg-64 |
default |
OK 13/ |
1.6 |
1.6 |
1.6 |
2.1 |
5.5 |
1.5 |
1.9 |
1.5 |
1.6 |
1.5 |
1.7 |
2.1 |
2.2 |
5.2 |
5.7 |
OutputCode#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
OutputCodeClassifier |
~b-cl-nop |
logreg |
|||
OutputCodeClassifier |
~m-cl-nop |
logreg |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
OutputCodeClassifier |
~b-cl-nop |
logreg |
NO CONVERTER |
||
OutputCodeClassifier |
~m-cl-nop |
logreg |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
OutputCodeClassifier |
~b-cl-nop |
logreg |
1.0.2 |
4 |
1 |
1 |
|||||||||||||||||||||||
OutputCodeClassifier |
~m-cl-nop |
logreg |
1.0.2 |
5 |
3 |
3 |
PCA#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
PCA |
num-tr |
default |
OK 13/ |
2 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PCA |
num-tr |
default |
OK 13/ |
1.0.2 |
1 |
3.2e+02 |
2 |
2 |
skl2onnx |
1.1 |
3.2e+02 |
2 |
2 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PCA |
num-tr |
default |
OK 13/ |
1.2 |
1.2 |
1.4 |
1.4 |
1.5 |
1.1 |
1.5 |
1.1 |
1.2 |
1.1 |
3.1 |
1.3 |
1.5 |
1.5 |
1.6 |
PLS…#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
PLSCanonical |
b-reg |
default |
|||
PLSCanonical |
m-reg |
default |
|||
PLSCanonical |
num+y-tr |
default |
|||
PLSCanonical |
~b-reg-64 |
default |
|||
PLSCanonical |
~m-reg-64 |
default |
|||
PLSRegression |
b-reg |
default |
OK 14/ |
4 |
|
PLSRegression |
m-reg |
default |
OK 14/ |
4 |
|
num+y-tr |
default |
big-diff |
4 |
||
PLSRegression |
~b-reg-64 |
default |
OK 14/ |
4 |
|
PLSRegression |
~m-reg-64 |
default |
OK 14/ |
4 |
|
PLSSVD |
num+y-tr |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
PLSCanonical |
b-reg |
default |
NO CONVERTER |
||
PLSCanonical |
m-reg |
default |
NO CONVERTER |
||
PLSCanonical |
num+y-tr |
default |
NO CONVERTER |
||
PLSCanonical |
~b-reg-64 |
default |
NO CONVERTER |
||
PLSCanonical |
~m-reg-64 |
default |
NO CONVERTER |
||
PLSSVD |
num+y-tr |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PLSCanonical |
b-reg |
default |
1.0.2 |
1 |
4 |
1 |
|||||||||||||||||||||||
PLSCanonical |
m-reg |
default |
1.0.2 |
1 |
4 |
1 |
|||||||||||||||||||||||
PLSCanonical |
num+y-tr |
default |
1.0.2 |
1 |
4 |
1 |
|||||||||||||||||||||||
PLSCanonical |
~b-reg-64 |
default |
1.0.2 |
1 |
4 |
1 |
|||||||||||||||||||||||
PLSCanonical |
~m-reg-64 |
default |
1.0.2 |
1 |
4 |
1 |
|||||||||||||||||||||||
PLSRegression |
b-reg |
default |
OK 14/ |
1.0.2 |
1 |
4 |
1 |
4.2e+02 |
4 |
4 |
skl2onnx |
1.1 |
4.2e+02 |
4 |
4 |
||||||||||||||
PLSRegression |
m-reg |
default |
OK 14/ |
1.0.2 |
1 |
4 |
1 |
4.4e+02 |
4 |
4 |
skl2onnx |
1.1 |
4.4e+02 |
4 |
4 |
||||||||||||||
num+y-tr |
default |
big-diff |
1.0.2 |
1 |
4 |
1 |
4.2e+02 |
4 |
4 |
skl2onnx |
1.1 |
4.2e+02 |
4 |
4 |
|||||||||||||||
PLSRegression |
~b-reg-64 |
default |
OK 14/ |
1.0.2 |
1 |
4 |
1 |
4.8e+02 |
4 |
4 |
skl2onnx |
1.1 |
4.8e+02 |
4 |
4 |
||||||||||||||
PLSRegression |
~m-reg-64 |
default |
OK 14/ |
1.0.2 |
1 |
4 |
1 |
5.2e+02 |
4 |
4 |
skl2onnx |
1.1 |
5.2e+02 |
4 |
4 |
||||||||||||||
PLSSVD |
num+y-tr |
default |
1.0.2 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PLSRegression |
b-reg |
default |
OK 14/ |
1.4 |
1.1 |
1.1 |
0.98 |
0.82 |
0.99 |
3.3 |
0.99 |
1.7 |
0.94 |
1.1 |
0.9 |
1 |
0.81 |
0.82 |
|
PLSRegression |
m-reg |
default |
OK 14/ |
1.1 |
1.1 |
1 |
0.91 |
0.7 |
0.92 |
1.3 |
0.99 |
1.7 |
0.97 |
1.1 |
0.86 |
0.95 |
0.68 |
0.71 |
|
num+y-tr |
default |
big-diff |
1.2 |
1.2 |
1.1 |
0.96 |
0.76 |
1 |
1.4 |
1.1 |
1.8 |
1 |
1.2 |
0.92 |
1 |
0.75 |
0.77 |
||
PLSRegression |
~b-reg-64 |
default |
OK 14/ |
1.5 |
1.4 |
1.5 |
1.7 |
2.1 |
1.3 |
1.8 |
1.3 |
1.5 |
1.3 |
1.6 |
1.7 |
1.8 |
2.1 |
2.2 |
|
PLSRegression |
~m-reg-64 |
default |
OK 14/ |
1.5 |
1.4 |
1.4 |
1.5 |
1.6 |
1.3 |
1.9 |
1.3 |
1.5 |
1.3 |
1.5 |
1.4 |
1.7 |
1.6 |
1.7 |
PassiveAggressive#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
PassiveAggressiveClassifier |
~b-cl-nop |
logreg |
{‘zipmap’: False} |
OK 13/1 |
8 |
PassiveAggressiveClassifier |
~m-cl-nop |
logreg |
{‘zipmap’: False} |
OK 14/1 |
7 |
PassiveAggressiveRegressor |
b-reg |
default |
OK 15/1 |
1 |
|
PassiveAggressiveRegressor |
~b-reg-64 |
default |
OK 13/ |
3 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PassiveAggressiveClassifier |
~b-cl-nop |
logreg |
{‘zipmap’: False} |
OK 13/1 |
1.0.2 |
1 |
1 |
1 |
7.9e+02 |
8 |
5 |
skl2onnx |
1.1 |
1 |
7.9e+02 |
8 |
5 |
1 |
1 |
-1 |
|||||||||
PassiveAggressiveClassifier |
~m-cl-nop |
logreg |
{‘zipmap’: False} |
OK 14/1 |
1.0.2 |
1 |
3 |
1 |
7.4e+02 |
7 |
4 |
skl2onnx |
1.1 |
1 |
7.1e+02 |
6 |
4 |
1 |
1 |
1 |
|||||||||
PassiveAggressiveRegressor |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.7e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.7e+02 |
1 |
0 |
-1 |
||||||||||||
PassiveAggressiveRegressor |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.7e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.7e+02 |
3 |
3 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PassiveAggressiveClassifier |
~b-cl-nop |
logreg |
{‘zipmap’: False} |
OK 13/1 |
2.2 |
2.2 |
2.2 |
2.4 |
1.4 |
2 |
2.6 |
2 |
3.4 |
2 |
2.4 |
2.2 |
2.6 |
1.2 |
1.6 |
PassiveAggressiveClassifier |
~m-cl-nop |
logreg |
{‘zipmap’: False} |
OK 14/1 |
1.9 |
1.9 |
1.9 |
1.5 |
0.79 |
1.7 |
2.4 |
1.7 |
3.2 |
1.7 |
2 |
1.4 |
1.6 |
0.78 |
0.81 |
PassiveAggressiveRegressor |
b-reg |
default |
OK 15/1 |
0.96 |
0.72 |
0.71 |
0.81 |
1.1 |
0.68 |
3.7 |
0.67 |
1.1 |
0.64 |
0.76 |
0.73 |
0.86 |
0.98 |
1.1 |
|
PassiveAggressiveRegressor |
~b-reg-64 |
default |
OK 13/ |
1.5 |
1.4 |
1.5 |
2 |
5.1 |
1.3 |
4.4 |
1.3 |
2.2 |
1.4 |
1.6 |
1.8 |
2.1 |
4.4 |
6.2 |
Perceptron#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
Perceptron |
~b-cl-dec |
logreg |
{‘zipmap’: False} |
OK 13/1 |
8 |
Perceptron |
~b-cl-nop |
logreg |
{‘zipmap’: False} |
OK 13/1 |
8 |
Perceptron |
~m-cl-dec |
logreg |
{‘zipmap’: False} |
OK 14/1 |
7 |
Perceptron |
~m-cl-nop |
logreg |
{‘zipmap’: False} |
OK 14/1 |
7 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Perceptron |
~b-cl-dec |
logreg |
{‘zipmap’: False} |
OK 13/1 |
1.0.2 |
1 |
1 |
1 |
7.8e+02 |
8 |
5 |
skl2onnx |
1.1 |
1 |
7.8e+02 |
8 |
5 |
1 |
1 |
-1 |
|||||||||
Perceptron |
~b-cl-nop |
logreg |
{‘zipmap’: False} |
OK 13/1 |
1.0.2 |
1 |
1 |
1 |
7.8e+02 |
8 |
5 |
skl2onnx |
1.1 |
1 |
7.8e+02 |
8 |
5 |
1 |
1 |
-1 |
|||||||||
Perceptron |
~m-cl-dec |
logreg |
{‘zipmap’: False} |
OK 14/1 |
1.0.2 |
1 |
3 |
1 |
7.3e+02 |
7 |
4 |
skl2onnx |
1.1 |
1 |
6.9e+02 |
6 |
4 |
1 |
1 |
1 |
|||||||||
Perceptron |
~m-cl-nop |
logreg |
{‘zipmap’: False} |
OK 14/1 |
1.0.2 |
1 |
3 |
1 |
7.3e+02 |
7 |
4 |
skl2onnx |
1.1 |
1 |
6.9e+02 |
6 |
4 |
1 |
1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Perceptron |
~b-cl-dec |
logreg |
{‘zipmap’: False} |
OK 13/1 |
2.7 |
2.9 |
2.8 |
3.1 |
4.1 |
2.5 |
3.3 |
2.6 |
4.3 |
2.4 |
3 |
3 |
3.3 |
4 |
4.2 |
Perceptron |
~b-cl-nop |
logreg |
{‘zipmap’: False} |
OK 13/1 |
2.4 |
2.4 |
2.5 |
2.5 |
3 |
2.2 |
2.8 |
2.2 |
3.7 |
2.3 |
2.5 |
2.3 |
2.7 |
2.9 |
3.2 |
Perceptron |
~m-cl-dec |
logreg |
{‘zipmap’: False} |
OK 14/1 |
2.4 |
2.4 |
2.3 |
1.8 |
1.1 |
2.2 |
2.9 |
2.1 |
3.8 |
2.1 |
2.4 |
1.3 |
2.1 |
1 |
1.1 |
Perceptron |
~m-cl-nop |
logreg |
{‘zipmap’: False} |
OK 14/1 |
2.1 |
2.1 |
2.2 |
1.7 |
0.82 |
1.8 |
2.6 |
1.8 |
3.6 |
1.9 |
2.3 |
1.6 |
1.8 |
0.81 |
0.83 |
Poisson#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
PoissonRegressor |
b-reg |
default |
OK 14/ |
4 |
|
PoissonRegressor |
m-reg |
default |
ERR: 1training_time |
-1 |
|
PoissonRegressor |
~b-reg-64 |
default |
OK 14/ |
4 |
|
PoissonRegressor |
~m-reg-64 |
default |
ERR: 1training_time |
-1 |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
PoissonRegressor |
m-reg |
default |
ERR: 1training_time |
y should be a 1d array, got an array of shape (112, 2) instead. |
|
PoissonRegressor |
~m-reg-64 |
default |
ERR: 1training_time |
y should be a 1d array, got an array of shape (112, 2) instead. |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PoissonRegressor |
b-reg |
default |
OK 14/ |
1.0.2 |
1 |
4 |
1 |
4e+02 |
4 |
3 |
skl2onnx |
1.1 |
4e+02 |
4 |
3 |
1 |
|||||||||||||
PoissonRegressor |
m-reg |
default |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||||
PoissonRegressor |
~b-reg-64 |
default |
OK 14/ |
1.0.2 |
1 |
4 |
1 |
4.2e+02 |
4 |
3 |
skl2onnx |
1.1 |
4.2e+02 |
4 |
3 |
1 |
|||||||||||||
PoissonRegressor |
~m-reg-64 |
default |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PoissonRegressor |
b-reg |
default |
OK 14/ |
1.6 |
1.6 |
1.7 |
2.2 |
3.7 |
1.5 |
2.1 |
1.5 |
1.7 |
1.6 |
1.8 |
2.1 |
2.5 |
3.2 |
4.2 |
|
PoissonRegressor |
~b-reg-64 |
default |
OK 14/ |
1.6 |
1.6 |
1.9 |
3 |
5.8 |
1.3 |
2.1 |
1.4 |
1.7 |
1.7 |
2 |
2.8 |
3.1 |
5.5 |
6 |
PolynomialCountSketch#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
PolynomialCountSketch |
num-tr |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
PolynomialCountSketch |
num-tr |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PolynomialCountSketch |
num-tr |
default |
1.0.2 |
1 |
PolynomialFeatures#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
PolynomialFeatures |
num-tr |
default |
OK 15/1 |
31 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PolynomialFeatures |
num-tr |
default |
OK 15/1 |
1.0.2 |
1 |
2.5e+03 |
31 |
14 |
skl2onnx |
1.1 |
1 |
2.5e+03 |
31 |
14 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PolynomialFeatures |
num-tr |
default |
OK 15/1 |
6.4 |
5.8 |
5.2 |
3.7 |
1.4 |
5.7 |
7.7 |
5.4 |
8.9 |
5.1 |
5.4 |
3.6 |
3.8 |
1.4 |
1.4 |
PowerTransformer#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
PowerTransformer |
num-tr-pos |
box-cox |
OK 15/1 |
11 |
|
PowerTransformer |
num-tr-pos |
yeo-johnson |
OK 15/1 |
31 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PowerTransformer |
num-tr-pos |
box-cox |
OK 15/1 |
1.0.2 |
1 |
9.8e+02 |
11 |
3 |
skl2onnx |
1.1 |
1 |
9.8e+02 |
11 |
3 |
-1 |
||||||||||||||
PowerTransformer |
num-tr-pos |
yeo-johnson |
OK 15/1 |
1.0.2 |
1 |
2.2e+03 |
31 |
4 |
skl2onnx |
1.1 |
1 |
2.2e+03 |
31 |
4 |
2 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
PowerTransformer |
num-tr-pos |
box-cox |
OK 15/1 |
0.85 |
0.86 |
0.79 |
0.78 |
0.72 |
0.78 |
1.1 |
0.76 |
1.3 |
0.74 |
0.83 |
0.75 |
0.83 |
0.72 |
0.72 |
|
PowerTransformer |
num-tr-pos |
yeo-johnson |
OK 15/1 |
1.1 |
1.1 |
1.1 |
1.3 |
1.8 |
1 |
1.3 |
1.1 |
1.7 |
1.1 |
1.2 |
1.3 |
1.4 |
1.8 |
1.8 |
QuadraticDiscriminantAnalysis#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
b-cl |
default |
||||
m-cl |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
b-cl |
default |
NO CONVERTER |
|||
m-cl |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b-cl |
default |
1.0.2 |
1 |
||||||||||||||||||||||||||
m-cl |
default |
1.0.2 |
1 |
Quantile#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
QuantileRegressor |
b-reg |
default |
OK 15/1 |
1 |
|
QuantileRegressor |
m-reg |
default |
ERR: 1training_time |
-1 |
|
QuantileRegressor |
~b-reg-64 |
default |
OK 13/ |
3 |
|
QuantileRegressor |
~m-reg-64 |
default |
ERR: 1training_time |
-1 |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
QuantileRegressor |
m-reg |
default |
ERR: 1training_time |
y should be a 1d array, got an array of shape (112, 2) instead. |
|
QuantileRegressor |
~m-reg-64 |
default |
ERR: 1training_time |
y should be a 1d array, got an array of shape (112, 2) instead. |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
QuantileRegressor |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.6e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.6e+02 |
1 |
0 |
-1 |
||||||||||||
QuantileRegressor |
m-reg |
default |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
||||||||||||||
QuantileRegressor |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.6e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.6e+02 |
3 |
3 |
1 |
||||||||||||
QuantileRegressor |
~m-reg-64 |
default |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
QuantileRegressor |
b-reg |
default |
OK 15/1 |
0.75 |
0.77 |
0.77 |
0.86 |
1.2 |
0.51 |
0.86 |
0.75 |
1 |
0.75 |
0.79 |
0.83 |
0.88 |
1.1 |
1.2 |
|
QuantileRegressor |
~b-reg-64 |
default |
OK 13/ |
1.5 |
1.5 |
1.5 |
2 |
6.1 |
1.4 |
1.8 |
1.5 |
1.5 |
1.5 |
1.6 |
1.9 |
2.1 |
5.8 |
6.4 |
QuantileTransformer#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
QuantileTransformer |
num-tr |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
QuantileTransformer |
num-tr |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
QuantileTransformer |
num-tr |
default |
1.0.2 |
1 |
RANSAC#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
RANSACRegressor |
b-reg |
default |
OK 14/1 |
2 |
|
RANSACRegressor |
m-reg |
default |
OK 14/1 |
2 |
|
RANSACRegressor |
~b-reg-64 |
default |
OK 14/ |
4 |
|
RANSACRegressor |
~m-reg-64 |
default |
OK 14/ |
4 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
RANSACRegressor |
b-reg |
default |
OK 14/1 |
1.0.2 |
1 |
2.9e+02 |
2 |
0 |
skl2onnx |
1.1 |
1 |
2.6e+02 |
1 |
0 |
-1 |
1 |
|||||||||||||
RANSACRegressor |
m-reg |
default |
OK 14/1 |
1.0.2 |
1 |
3.4e+02 |
2 |
0 |
skl2onnx |
1.1 |
1 |
3e+02 |
1 |
0 |
-1 |
1 |
|||||||||||||
RANSACRegressor |
~b-reg-64 |
default |
OK 14/ |
1.0.2 |
1 |
4e+02 |
4 |
3 |
skl2onnx |
1.1 |
-1 |
3.6e+02 |
3 |
3 |
1 |
1 |
|||||||||||||
RANSACRegressor |
~m-reg-64 |
default |
OK 14/ |
1.0.2 |
1 |
4.4e+02 |
4 |
3 |
skl2onnx |
1.1 |
-1 |
4e+02 |
3 |
3 |
1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
RANSACRegressor |
b-reg |
default |
OK 14/1 |
0.77 |
0.46 |
0.47 |
0.57 |
1.4 |
0.43 |
3.9 |
0.43 |
0.69 |
0.43 |
0.5 |
0.54 |
0.61 |
1.3 |
1.6 |
|
RANSACRegressor |
m-reg |
default |
OK 14/1 |
0.46 |
0.47 |
0.47 |
0.55 |
0.62 |
0.44 |
0.49 |
0.43 |
0.7 |
0.43 |
0.51 |
0.52 |
0.58 |
0.61 |
0.64 |
|
RANSACRegressor |
~b-reg-64 |
default |
OK 14/ |
0.85 |
0.9 |
0.92 |
1.3 |
1.2 |
0.8 |
1 |
0.82 |
1.4 |
0.88 |
0.97 |
1.2 |
1.3 |
0.78 |
2.2 |
|
RANSACRegressor |
~m-reg-64 |
default |
OK 14/ |
0.85 |
0.88 |
0.91 |
1.1 |
1.5 |
0.8 |
1 |
0.8 |
1.3 |
0.86 |
0.94 |
1 |
1.2 |
1.4 |
1.6 |
RBFSampler#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
RBFSampler |
num-tr |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
RBFSampler |
num-tr |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
RBFSampler |
num-tr |
default |
1.0.2 |
1 |
RFE#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
RFE |
num+y-tr |
reg |
OK 15/1 |
1 |
|
RFECV |
num+y-tr |
reg |
OK 15/1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
RFE |
num+y-tr |
reg |
OK 15/1 |
1.0.2 |
1 |
2.4e+02 |
1 |
1 |
skl2onnx |
1.1 |
1 |
2.4e+02 |
1 |
1 |
|||||||||||||||
RFECV |
num+y-tr |
reg |
OK 15/1 |
1.0.2 |
1 |
2.4e+02 |
1 |
1 |
skl2onnx |
1.1 |
1 |
2.4e+02 |
1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
RFE |
num+y-tr |
reg |
OK 15/1 |
0.55 |
0.56 |
0.53 |
0.6 |
0.76 |
0.51 |
0.63 |
0.52 |
0.84 |
0.46 |
0.61 |
0.55 |
0.65 |
0.63 |
0.91 |
|
RFECV |
num+y-tr |
reg |
OK 15/1 |
0.5 |
0.52 |
0.53 |
0.56 |
0.78 |
0.46 |
0.59 |
0.48 |
0.77 |
0.48 |
0.58 |
0.51 |
0.61 |
0.68 |
0.88 |
RandomizedSearch#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
RandomizedSearchCV |
b-cl |
cl |
|||
RandomizedSearchCV |
b-cl |
reg |
ERR: 2skl_meth |
||
RandomizedSearchCV |
m-cl |
cl |
|||
RandomizedSearchCV |
m-cl |
reg |
ERR: 2skl_meth |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
RandomizedSearchCV |
b-cl |
cl |
NO CONVERTER |
||
RandomizedSearchCV |
b-cl |
reg |
ERR: 2skl_meth |
‘LinearRegression’ object has no attribute ‘predict_proba’ |
|
RandomizedSearchCV |
m-cl |
cl |
NO CONVERTER |
||
RandomizedSearchCV |
m-cl |
reg |
ERR: 2skl_meth |
‘LinearRegression’ object has no attribute ‘predict_proba’ |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
RandomizedSearchCV |
b-cl |
cl |
1.0.2 |
1 |
|||||||||||||||||||||||||
RandomizedSearchCV |
b-cl |
reg |
ERR: 2skl_meth |
1.0.2 |
1 |
||||||||||||||||||||||||
RandomizedSearchCV |
m-cl |
cl |
1.0.2 |
1 |
|||||||||||||||||||||||||
RandomizedSearchCV |
m-cl |
reg |
ERR: 2skl_meth |
1.0.2 |
1 |
RegressorChain#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
RegressorChain |
b-reg |
linreg |
ERR: 1training_time |
||
RegressorChain |
m-reg |
linreg |
|||
RegressorChain |
~b-reg-64 |
linreg |
ERR: 1training_time |
||
RegressorChain |
~m-reg-64 |
linreg |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
RegressorChain |
b-reg |
linreg |
ERR: 1training_time |
tuple index out of range |
|
RegressorChain |
m-reg |
linreg |
NO CONVERTER |
||
RegressorChain |
~b-reg-64 |
linreg |
ERR: 1training_time |
tuple index out of range |
|
RegressorChain |
~m-reg-64 |
linreg |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
RegressorChain |
b-reg |
linreg |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
||||||||||||||||||||||
RegressorChain |
m-reg |
linreg |
1.0.2 |
3 |
9 |
2 |
|||||||||||||||||||||||
RegressorChain |
~b-reg-64 |
linreg |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
||||||||||||||||||||||
RegressorChain |
~m-reg-64 |
linreg |
1.0.2 |
3 |
9 |
2 |
SVM#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
LinearSVC |
~b-cl-nop |
default |
OK 15/1 |
2 |
|
LinearSVC |
~b-cl-nop-64 |
default |
-1 |
||
LinearSVR |
b-reg |
default |
OK 15/1 |
1 |
|
LinearSVR |
~b-reg-64 |
default |
OK 13/ |
3 |
|
NuSVC |
b-cl |
prob |
OK 9/1 |
4 |
|
NuSVC |
m-cl |
prob |
OK 9/1 |
4 |
|
~b-cl-64 |
prob |
ERR: 5ort_load |
4 |
||
NuSVC |
~b-cl-nan |
prob |
ERR: 1training_time |
-1 |
|
NuSVR |
b-reg |
default |
OK 9/1 |
2 |
|
~b-reg-64 |
default |
ERR: 5ort_load |
2 |
||
OneClassSVM |
outlier |
default |
OK 9/1 |
4 |
|
outlier |
default |
||||
SVC |
b-cl |
linear |
{‘zipmap’: False} |
OK 9/1 |
2 |
SVC |
b-cl |
poly |
{‘zipmap’: False} |
OK 9/1 |
2 |
SVC |
b-cl |
rbf |
{‘zipmap’: False} |
OK 9/1 |
2 |
b-cl |
sigmoid |
{‘zipmap’: False} |
e<0.0001 9/1 |
2 |
|
m-cl |
linear |
{‘zipmap’: False} |
e<0.0001 9/1 |
2 |
|
m-cl |
poly |
{‘zipmap’: False} |
e<0.0001 9/1 |
2 |
|
SVC |
m-cl |
rbf |
{‘zipmap’: False} |
OK 9/1 |
2 |
SVC |
m-cl |
sigmoid |
{‘zipmap’: False} |
OK 9/1 |
2 |
~b-cl-64 |
linear |
{‘zipmap’: False} |
ERR: 5ort_load |
2 |
|
~b-cl-64 |
poly |
{‘zipmap’: False} |
ERR: 5ort_load |
2 |
|
~b-cl-64 |
rbf |
{‘zipmap’: False} |
ERR: 5ort_load |
2 |
|
~b-cl-64 |
sigmoid |
{‘zipmap’: False} |
ERR: 5ort_load |
2 |
|
SVC |
~b-cl-nan |
linear |
ERR: 1training_time |
-1 |
|
SVC |
~b-cl-nan |
poly |
ERR: 1training_time |
-1 |
|
SVC |
~b-cl-nan |
rbf |
ERR: 1training_time |
-1 |
|
SVC |
~b-cl-nan |
sigmoid |
ERR: 1training_time |
-1 |
|
b-reg |
linear |
e<0.0001 9/1 |
2 |
||
b-reg |
poly |
e<0.0001 9/1 |
2 |
||
SVR |
b-reg |
rbf |
OK 9/1 |
2 |
|
SVR |
b-reg |
sigmoid |
OK 9/1 |
2 |
|
~b-reg-64 |
linear |
ERR: 5ort_load |
2 |
||
~b-reg-64 |
poly |
ERR: 5ort_load |
2 |
||
~b-reg-64 |
rbf |
ERR: 5ort_load |
2 |
||
~b-reg-64 |
sigmoid |
ERR: 5ort_load |
2 |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
LinearSVC |
~b-cl-nop-64 |
default |
post_transform ‘NONE’ is not supported with double. |
||
~b-cl-64 |
prob |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
||
NuSVC |
~b-cl-nan |
prob |
ERR: 1training_time |
Input contains NaN, infinity or a value too large for dtype(‘float64’). |
|
~b-reg-64 |
default |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
||
outlier |
default |
NO CONVERTER |
|||
~b-cl-64 |
linear |
{‘zipmap’: False} |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
~b-cl-64 |
poly |
{‘zipmap’: False} |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
~b-cl-64 |
rbf |
{‘zipmap’: False} |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
~b-cl-64 |
sigmoid |
{‘zipmap’: False} |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
SVC |
~b-cl-nan |
linear |
ERR: 1training_time |
Input contains NaN, infinity or a value too large for dtype(‘float64’). |
|
SVC |
~b-cl-nan |
poly |
ERR: 1training_time |
Input contains NaN, infinity or a value too large for dtype(‘float64’). |
|
SVC |
~b-cl-nan |
rbf |
ERR: 1training_time |
Input contains NaN, infinity or a value too large for dtype(‘float64’). |
|
SVC |
~b-cl-nan |
sigmoid |
ERR: 1training_time |
Input contains NaN, infinity or a value too large for dtype(‘float64’). |
|
~b-reg-64 |
linear |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
||
~b-reg-64 |
poly |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
||
~b-reg-64 |
rbf |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
||
~b-reg-64 |
sigmoid |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
LinearSVC |
~b-cl-nop |
default |
OK 15/1 |
1.0.2 |
1 |
1 |
1 |
5.4e+02 |
2 |
1 |
skl2onnx |
1.1 |
1 |
5.4e+02 |
2 |
1 |
|||||||||||||
LinearSVC |
~b-cl-nop-64 |
default |
1.0.2 |
1 |
3 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
||||||||||||||||
LinearSVR |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
4 |
1 |
2.5e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.5e+02 |
1 |
0 |
-1 |
||||||||||||
LinearSVR |
~b-reg-64 |
default |
OK 13/ |
1.0.2 |
1 |
4 |
1 |
3.6e+02 |
3 |
3 |
skl2onnx |
1.1 |
-1 |
3.6e+02 |
3 |
3 |
1 |
||||||||||||
NuSVC |
b-cl |
prob |
OK 9/1 |
1.0.2 |
1 |
2e+03 |
4 |
0 |
skl2onnx |
1.1 |
1 |
2e+03 |
4 |
0 |
2 |
-1 |
1 |
||||||||||||
NuSVC |
m-cl |
prob |
OK 9/1 |
1.0.2 |
1 |
3.2e+03 |
4 |
0 |
skl2onnx |
1.1 |
1 |
3.2e+03 |
4 |
0 |
2 |
-1 |
1 |
||||||||||||
~b-cl-64 |
prob |
ERR: 5ort_load |
1.0.2 |
1 |
2.1e+03 |
4 |
0 |
skl2onnx |
1.1 |
1 |
2.1e+03 |
4 |
0 |
2 |
1 |
1 |
|||||||||||||
NuSVC |
~b-cl-nan |
prob |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
||||||||||||||
NuSVR |
b-reg |
default |
OK 9/1 |
1.0.2 |
1 |
1.8e+03 |
2 |
0 |
skl2onnx |
1.1 |
1 |
1.8e+03 |
2 |
0 |
1 |
-1 |
|||||||||||||
~b-reg-64 |
default |
ERR: 5ort_load |
1.0.2 |
1 |
1.9e+03 |
2 |
0 |
skl2onnx |
1.1 |
-1 |
1.9e+03 |
2 |
0 |
1 |
1 |
||||||||||||||
OneClassSVM |
outlier |
default |
OK 9/1 |
1.0.2 |
1 |
1.9e+03 |
4 |
0 |
skl2onnx |
1.1 |
1 |
1.9e+03 |
4 |
0 |
2 |
||||||||||||||
outlier |
default |
1.0.2 |
1 |
4 |
1 |
||||||||||||||||||||||||
SVC |
b-cl |
linear |
{‘zipmap’: False} |
OK 9/1 |
1.0.2 |
1 |
1 |
1 |
5.8e+02 |
2 |
0 |
skl2onnx |
1.1 |
1 |
5.8e+02 |
2 |
0 |
1 |
-1 |
||||||||||
SVC |
b-cl |
poly |
{‘zipmap’: False} |
OK 9/1 |
1.0.2 |
1 |
-1 |
-1 |
5.8e+02 |
2 |
0 |
skl2onnx |
1.1 |
1 |
5.8e+02 |
2 |
0 |
1 |
-1 |
||||||||||
SVC |
b-cl |
rbf |
{‘zipmap’: False} |
OK 9/1 |
1.0.2 |
1 |
-1 |
-1 |
8.3e+02 |
2 |
0 |
skl2onnx |
1.1 |
1 |
8.3e+02 |
2 |
0 |
1 |
-1 |
||||||||||
b-cl |
sigmoid |
{‘zipmap’: False} |
e<0.0001 9/1 |
1.0.2 |
1 |
-1 |
-1 |
2.2e+03 |
2 |
0 |
skl2onnx |
1.1 |
1 |
2.2e+03 |
2 |
0 |
1 |
-1 |
|||||||||||
m-cl |
linear |
{‘zipmap’: False} |
e<0.0001 9/1 |
1.0.2 |
1 |
3 |
1 |
1.5e+03 |
2 |
0 |
skl2onnx |
1.1 |
1 |
1.5e+03 |
2 |
0 |
1 |
-1 |
|||||||||||
m-cl |
poly |
{‘zipmap’: False} |
e<0.0001 9/1 |
1.0.2 |
1 |
-1 |
-1 |
1.3e+03 |
2 |
0 |
skl2onnx |
1.1 |
1 |
1.3e+03 |
2 |
0 |
1 |
-1 |
|||||||||||
SVC |
m-cl |
rbf |
{‘zipmap’: False} |
OK 9/1 |
1.0.2 |
1 |
-1 |
-1 |
2.3e+03 |
2 |
0 |
skl2onnx |
1.1 |
1 |
2.3e+03 |
2 |
0 |
1 |
-1 |
||||||||||
SVC |
m-cl |
sigmoid |
{‘zipmap’: False} |
OK 9/1 |
1.0.2 |
1 |
-1 |
-1 |
3.9e+03 |
2 |
0 |
skl2onnx |
1.1 |
1 |
3.9e+03 |
2 |
0 |
1 |
-1 |
||||||||||
~b-cl-64 |
linear |
{‘zipmap’: False} |
ERR: 5ort_load |
1.0.2 |
1 |
1 |
1 |
5.9e+02 |
2 |
0 |
skl2onnx |
1.1 |
-1 |
5.9e+02 |
2 |
0 |
1 |
1 |
|||||||||||
~b-cl-64 |
poly |
{‘zipmap’: False} |
ERR: 5ort_load |
1.0.2 |
1 |
-1 |
-1 |
5.8e+02 |
2 |
0 |
skl2onnx |
1.1 |
-1 |
5.8e+02 |
2 |
0 |
1 |
1 |
|||||||||||
~b-cl-64 |
rbf |
{‘zipmap’: False} |
ERR: 5ort_load |
1.0.2 |
1 |
-1 |
-1 |
8.6e+02 |
2 |
0 |
skl2onnx |
1.1 |
-1 |
8.6e+02 |
2 |
0 |
1 |
1 |
|||||||||||
~b-cl-64 |
sigmoid |
{‘zipmap’: False} |
ERR: 5ort_load |
1.0.2 |
1 |
-1 |
-1 |
2.2e+03 |
2 |
0 |
skl2onnx |
1.1 |
-1 |
2.2e+03 |
2 |
0 |
1 |
1 |
|||||||||||
SVC |
~b-cl-nan |
linear |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||
SVC |
~b-cl-nan |
poly |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||
SVC |
~b-cl-nan |
rbf |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||
SVC |
~b-cl-nan |
sigmoid |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||
b-reg |
linear |
e<0.0001 9/1 |
1.0.2 |
1 |
1 |
1 |
2.8e+03 |
2 |
0 |
skl2onnx |
1.1 |
1 |
2.8e+03 |
2 |
0 |
1 |
-1 |
||||||||||||
b-reg |
poly |
e<0.0001 9/1 |
1.0.2 |
1 |
-1 |
-1 |
2.8e+03 |
2 |
0 |
skl2onnx |
1.1 |
1 |
2.8e+03 |
2 |
0 |
1 |
-1 |
||||||||||||
SVR |
b-reg |
rbf |
OK 9/1 |
1.0.2 |
1 |
-1 |
-1 |
2.6e+03 |
2 |
0 |
skl2onnx |
1.1 |
1 |
2.6e+03 |
2 |
0 |
1 |
-1 |
|||||||||||
SVR |
b-reg |
sigmoid |
OK 9/1 |
1.0.2 |
1 |
-1 |
-1 |
2.7e+03 |
2 |
0 |
skl2onnx |
1.1 |
1 |
2.7e+03 |
2 |
0 |
1 |
-1 |
|||||||||||
~b-reg-64 |
linear |
ERR: 5ort_load |
1.0.2 |
1 |
1 |
1 |
2.8e+03 |
2 |
0 |
skl2onnx |
1.1 |
-1 |
2.8e+03 |
2 |
0 |
1 |
1 |
||||||||||||
~b-reg-64 |
poly |
ERR: 5ort_load |
1.0.2 |
1 |
-1 |
-1 |
2.9e+03 |
2 |
0 |
skl2onnx |
1.1 |
-1 |
2.9e+03 |
2 |
0 |
1 |
1 |
||||||||||||
~b-reg-64 |
rbf |
ERR: 5ort_load |
1.0.2 |
1 |
-1 |
-1 |
2.6e+03 |
2 |
0 |
skl2onnx |
1.1 |
-1 |
2.6e+03 |
2 |
0 |
1 |
1 |
||||||||||||
~b-reg-64 |
sigmoid |
ERR: 5ort_load |
1.0.2 |
1 |
-1 |
-1 |
2.7e+03 |
2 |
0 |
skl2onnx |
1.1 |
-1 |
2.7e+03 |
2 |
0 |
1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
LinearSVC |
~b-cl-nop |
default |
OK 15/1 |
0.98 |
0.98 |
1.1 |
1.1 |
1.2 |
0.88 |
1.2 |
0.89 |
1 |
0.88 |
2.5 |
0.96 |
1.1 |
1.1 |
1.2 |
|
LinearSVR |
b-reg |
default |
OK 15/1 |
0.85 |
0.78 |
0.77 |
0.86 |
0.58 |
0.75 |
1.4 |
0.75 |
1 |
0.75 |
0.79 |
0.84 |
0.89 |
0.53 |
0.62 |
|
LinearSVR |
~b-reg-64 |
default |
OK 13/ |
1.5 |
1.5 |
1.5 |
2 |
6 |
1.4 |
1.9 |
1.4 |
1.5 |
1.5 |
1.6 |
1.9 |
2.1 |
5.9 |
6.1 |
|
NuSVC |
b-cl |
prob |
OK 9/1 |
0.87 |
0.75 |
0.45 |
0.34 |
0.34 |
0.79 |
1 |
0.68 |
1.1 |
0.44 |
0.47 |
0.33 |
0.34 |
0.33 |
0.34 |
|
NuSVC |
m-cl |
prob |
OK 9/1 |
0.82 |
0.68 |
0.43 |
0.33 |
0.33 |
0.77 |
0.99 |
0.59 |
0.97 |
0.42 |
0.44 |
0.32 |
0.33 |
0.33 |
0.33 |
|
NuSVR |
b-reg |
default |
OK 9/1 |
0.69 |
0.54 |
0.34 |
0.24 |
0.2 |
0.61 |
0.85 |
0.51 |
0.57 |
0.31 |
0.56 |
0.24 |
0.24 |
0.2 |
0.2 |
|
OneClassSVM |
outlier |
default |
OK 9/1 |
1 |
0.8 |
0.4 |
0.25 |
0.2 |
0.93 |
1.3 |
0.73 |
0.83 |
0.38 |
0.41 |
0.25 |
0.25 |
0.2 |
0.2 |
|
SVC |
b-cl |
linear |
{‘zipmap’: False} |
OK 9/1 |
0.85 |
0.72 |
0.68 |
0.25 |
0.19 |
0.68 |
3.1 |
0.67 |
0.74 |
0.57 |
1.3 |
0.24 |
0.26 |
0.16 |
0.23 |
SVC |
b-cl |
poly |
{‘zipmap’: False} |
OK 9/1 |
0.74 |
0.71 |
0.67 |
0.23 |
0.16 |
0.67 |
0.92 |
0.57 |
0.74 |
0.55 |
1.3 |
0.23 |
0.24 |
0.16 |
0.16 |
SVC |
b-cl |
rbf |
{‘zipmap’: False} |
OK 9/1 |
0.74 |
0.68 |
0.52 |
0.23 |
0.2 |
0.67 |
0.9 |
0.65 |
0.7 |
0.44 |
0.96 |
0.22 |
0.23 |
0.2 |
0.2 |
b-cl |
sigmoid |
{‘zipmap’: False} |
e<0.0001 9/1 |
0.72 |
0.55 |
0.27 |
0.14 |
0.13 |
0.66 |
0.87 |
0.52 |
0.57 |
0.25 |
0.45 |
0.14 |
0.14 |
0.13 |
0.14 |
|
m-cl |
linear |
{‘zipmap’: False} |
e<0.0001 9/1 |
0.72 |
0.7 |
0.54 |
0.19 |
0.16 |
0.67 |
0.87 |
0.66 |
0.72 |
0.47 |
0.94 |
0.19 |
0.19 |
0.16 |
0.16 |
|
m-cl |
poly |
{‘zipmap’: False} |
e<0.0001 9/1 |
0.75 |
0.7 |
0.53 |
0.19 |
0.16 |
0.69 |
0.91 |
0.67 |
0.73 |
0.45 |
0.92 |
0.18 |
0.19 |
0.16 |
0.16 |
|
SVC |
m-cl |
rbf |
{‘zipmap’: False} |
OK 9/1 |
0.73 |
0.6 |
0.38 |
0.23 |
0.22 |
0.66 |
0.89 |
0.56 |
0.64 |
0.35 |
0.56 |
0.23 |
0.23 |
0.22 |
0.22 |
SVC |
m-cl |
sigmoid |
{‘zipmap’: False} |
OK 9/1 |
0.7 |
0.49 |
0.25 |
0.15 |
0.14 |
0.65 |
0.86 |
0.46 |
0.51 |
0.23 |
0.37 |
0.15 |
0.15 |
0.14 |
0.14 |
b-reg |
linear |
e<0.0001 9/1 |
0.72 |
0.63 |
0.37 |
0.1 |
0.043 |
0.66 |
0.9 |
0.59 |
0.65 |
0.31 |
0.73 |
0.098 |
0.11 |
0.043 |
0.043 |
||
b-reg |
poly |
e<0.0001 9/1 |
0.72 |
0.61 |
0.33 |
0.13 |
0.075 |
0.67 |
0.89 |
0.58 |
0.64 |
0.28 |
0.65 |
0.13 |
0.13 |
0.075 |
0.075 |
||
SVR |
b-reg |
rbf |
OK 9/1 |
0.73 |
0.53 |
0.31 |
0.24 |
0.23 |
0.67 |
0.91 |
0.5 |
0.56 |
0.29 |
0.45 |
0.24 |
0.24 |
0.23 |
0.23 |
|
SVR |
b-reg |
sigmoid |
OK 9/1 |
0.71 |
0.5 |
0.22 |
0.12 |
0.098 |
0.64 |
0.88 |
0.46 |
0.51 |
0.2 |
0.37 |
0.12 |
0.12 |
0.098 |
0.099 |
Scaler#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
MaxAbsScaler |
num-tr |
default |
OK 15/1 |
1 |
|
MinMaxScaler |
num-tr |
default |
OK 14/ |
3 |
|
Normalizer |
num-tr |
l1 |
OK 15/1 |
1 |
|
Normalizer |
num-tr |
l2 |
OK 15/1 |
1 |
|
Normalizer |
num-tr |
max |
OK 15/1 |
1 |
|
RobustScaler |
num-tr |
default |
OK 15/1 |
1 |
|
StandardScaler |
num-tr |
default |
OK 15/1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MaxAbsScaler |
num-tr |
default |
OK 15/1 |
1.0.2 |
1 |
2.4e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.4e+02 |
1 |
0 |
|||||||||||||||
MinMaxScaler |
num-tr |
default |
OK 14/ |
1.0.2 |
1 |
3.2e+02 |
3 |
2 |
skl2onnx |
1.1 |
3.2e+02 |
3 |
2 |
1 |
|||||||||||||||
Normalizer |
num-tr |
l1 |
OK 15/1 |
1.0.2 |
1 |
2e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2e+02 |
1 |
0 |
|||||||||||||||
Normalizer |
num-tr |
l2 |
OK 15/1 |
1.0.2 |
1 |
2e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2e+02 |
1 |
0 |
|||||||||||||||
Normalizer |
num-tr |
max |
OK 15/1 |
1.0.2 |
1 |
2e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2e+02 |
1 |
0 |
|||||||||||||||
RobustScaler |
num-tr |
default |
OK 15/1 |
1.0.2 |
1 |
2.4e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.4e+02 |
1 |
0 |
|||||||||||||||
StandardScaler |
num-tr |
default |
OK 15/1 |
1.0.2 |
1 |
2.4e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.4e+02 |
1 |
0 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MaxAbsScaler |
num-tr |
default |
OK 15/1 |
0.79 |
0.81 |
0.86 |
1.3 |
0.93 |
0.75 |
0.93 |
0.7 |
1.2 |
0.77 |
0.98 |
1.2 |
1.4 |
0.91 |
0.96 |
|
MinMaxScaler |
num-tr |
default |
OK 14/ |
1.1 |
1.1 |
1.3 |
1.4 |
2.4 |
1 |
1.4 |
1 |
1.1 |
0.97 |
2.9 |
1.4 |
1.5 |
2.3 |
2.5 |
|
Normalizer |
num-tr |
l1 |
OK 15/1 |
0.38 |
0.39 |
0.4 |
0.41 |
0.42 |
0.35 |
0.42 |
0.36 |
0.59 |
0.37 |
0.43 |
0.37 |
0.45 |
0.4 |
0.45 |
|
Normalizer |
num-tr |
l2 |
OK 15/1 |
0.37 |
0.38 |
0.39 |
0.54 |
0.98 |
0.34 |
0.51 |
0.35 |
0.56 |
0.36 |
0.44 |
0.49 |
0.57 |
0.95 |
1 |
|
Normalizer |
num-tr |
max |
OK 15/1 |
0.36 |
0.37 |
0.37 |
0.31 |
0.25 |
0.35 |
0.4 |
0.34 |
0.56 |
0.34 |
0.4 |
0.29 |
0.34 |
0.24 |
0.25 |
|
RobustScaler |
num-tr |
default |
OK 15/1 |
0.68 |
0.69 |
0.68 |
0.77 |
0.31 |
0.64 |
0.8 |
0.63 |
1 |
0.63 |
0.76 |
0.72 |
0.81 |
0.29 |
0.33 |
|
StandardScaler |
num-tr |
default |
OK 15/1 |
0.68 |
0.68 |
0.66 |
0.67 |
0.24 |
0.63 |
0.8 |
0.63 |
0.99 |
0.6 |
0.73 |
0.63 |
0.7 |
0.23 |
0.25 |
Select…#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
SelectFdr |
num+y-tr-cl |
default |
OK 15/1 |
1 |
|
SelectFpr |
num+y-tr-cl |
default |
OK 15/1 |
1 |
|
SelectFromModel |
num+y-tr |
rf |
OK 15/1 |
1 |
|
SelectFwe |
num+y-tr-cl |
alpha100 |
OK 15/1 |
1 |
|
SelectKBest |
num+y-tr |
k2 |
OK 15/1 |
1 |
|
SelectPercentile |
num+y-tr |
p50 |
OK 15/1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SelectFdr |
num+y-tr-cl |
default |
OK 15/1 |
1.0.2 |
1 |
2.4e+02 |
1 |
1 |
skl2onnx |
1.1 |
1 |
2.4e+02 |
1 |
1 |
|||||||||||||||
SelectFpr |
num+y-tr-cl |
default |
OK 15/1 |
1.0.2 |
1 |
2.4e+02 |
1 |
1 |
skl2onnx |
1.1 |
1 |
2.4e+02 |
1 |
1 |
|||||||||||||||
SelectFromModel |
num+y-tr |
rf |
OK 15/1 |
1.0.2 |
1 |
2.5e+02 |
1 |
1 |
skl2onnx |
1.1 |
1 |
2.5e+02 |
1 |
1 |
|||||||||||||||
SelectFwe |
num+y-tr-cl |
alpha100 |
OK 15/1 |
1.0.2 |
1 |
2.4e+02 |
1 |
1 |
skl2onnx |
1.1 |
1 |
2.4e+02 |
1 |
1 |
|||||||||||||||
SelectKBest |
num+y-tr |
k2 |
OK 15/1 |
1.0.2 |
1 |
2.4e+02 |
1 |
1 |
skl2onnx |
1.1 |
1 |
2.4e+02 |
1 |
1 |
|||||||||||||||
SelectPercentile |
num+y-tr |
p50 |
OK 15/1 |
1.0.2 |
1 |
2.5e+02 |
1 |
1 |
skl2onnx |
1.1 |
1 |
2.5e+02 |
1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SelectFdr |
num+y-tr-cl |
default |
OK 15/1 |
0.46 |
0.43 |
0.42 |
0.45 |
0.68 |
0.39 |
1.2 |
0.38 |
0.63 |
0.37 |
0.47 |
0.4 |
0.52 |
0.62 |
0.74 |
|
SelectFpr |
num+y-tr-cl |
default |
OK 15/1 |
0.56 |
0.57 |
0.57 |
0.62 |
0.85 |
0.52 |
0.66 |
0.51 |
0.86 |
0.51 |
0.62 |
0.55 |
0.68 |
0.77 |
0.94 |
|
SelectFromModel |
num+y-tr |
rf |
OK 15/1 |
0.22 |
0.21 |
0.2 |
0.22 |
0.27 |
0.19 |
0.62 |
0.19 |
0.31 |
0.15 |
0.23 |
0.19 |
0.23 |
0.24 |
0.31 |
|
SelectFwe |
num+y-tr-cl |
alpha100 |
OK 15/1 |
0.62 |
0.58 |
0.57 |
0.61 |
0.88 |
0.53 |
1.7 |
0.51 |
0.86 |
0.52 |
0.61 |
0.57 |
0.67 |
0.8 |
0.96 |
|
SelectKBest |
num+y-tr |
k2 |
OK 15/1 |
0.43 |
0.44 |
0.43 |
0.47 |
0.66 |
0.4 |
0.5 |
0.41 |
0.65 |
0.39 |
0.48 |
0.44 |
0.51 |
0.57 |
0.76 |
|
SelectPercentile |
num+y-tr |
p50 |
OK 15/1 |
0.13 |
0.13 |
0.13 |
0.14 |
0.23 |
0.12 |
0.15 |
0.12 |
0.19 |
0.12 |
0.14 |
0.13 |
0.15 |
0.21 |
0.24 |
SelfTraining#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
SelfTrainingClassifier |
b-cl |
default |
? |
||
SelfTrainingClassifier |
m-cl |
default |
? |
||
SelfTrainingClassifier |
~b-cl-64 |
default |
? |
||
SelfTrainingClassifier |
~m-label |
default |
? |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SelfTrainingClassifier |
b-cl |
default |
? |
1.0.2 |
|||||||||||||||||||||||||
SelfTrainingClassifier |
m-cl |
default |
? |
1.0.2 |
|||||||||||||||||||||||||
SelfTrainingClassifier |
~b-cl-64 |
default |
? |
1.0.2 |
|||||||||||||||||||||||||
SelfTrainingClassifier |
~m-label |
default |
? |
1.0.2 |
SequentialFeatureSelector#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
SequentialFeatureSelector |
num-tr |
default |
? |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SequentialFeatureSelector |
num-tr |
default |
? |
1.0.2 |
SimpleImputer#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
SimpleImputer |
num-tr |
default |
OK 15/1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SimpleImputer |
num-tr |
default |
OK 15/1 |
1.0.2 |
1 |
2.6e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
2.6e+02 |
1 |
0 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SimpleImputer |
num-tr |
default |
OK 15/1 |
0.31 |
0.32 |
0.31 |
0.31 |
0.34 |
0.29 |
0.36 |
0.29 |
0.48 |
0.29 |
0.35 |
0.29 |
0.34 |
0.3 |
0.38 |
SkewedChi2Sampler#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
SkewedChi2Sampler |
num-tr |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
SkewedChi2Sampler |
num-tr |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SkewedChi2Sampler |
num-tr |
default |
1.0.2 |
1 |
Sparse…#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
SparseCoder |
ERR: 0problem |
||||
SparsePCA |
num-tr |
default |
|||
SparseRandomProjection |
num-tr |
eps95 |
ERR: 1training_time |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
SparseCoder |
ERR: 0problem |
SKIPPED |
|||
SparsePCA |
num-tr |
default |
NO CONVERTER |
||
SparseRandomProjection |
num-tr |
eps95 |
ERR: 1training_time |
eps=0.950000 and n_samples=112 lead to a target dimension of 114 which is l… |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SparseCoder |
ERR: 0problem |
1.0.2 |
|||||||||||||||||||||||||||
SparsePCA |
num-tr |
default |
1.0.2 |
1 |
|||||||||||||||||||||||||
SparseRandomProjection |
num-tr |
eps95 |
ERR: 1training_time |
1.0.2 |
SplineTransformer#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
SplineTransformer |
num-tr |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
SplineTransformer |
num-tr |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SplineTransformer |
num-tr |
default |
1.0.2 |
1 |
Stacking#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
StackingClassifier |
b-cl |
logreg |
{‘zipmap’: False} |
OK 14/1 |
17 |
StackingRegressor |
b-reg |
linreg |
OK 14/1 |
8 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
StackingClassifier |
b-cl |
logreg |
{‘zipmap’: False} |
OK 14/1 |
1.0.2 |
3 |
2 |
2 |
2.2e+03 |
17 |
3 |
skl2onnx |
1.1 |
1 |
2.1e+03 |
16 |
3 |
1 |
4 |
1 |
|||||||||
StackingRegressor |
b-reg |
linreg |
OK 14/1 |
1.0.2 |
3 |
8 |
2 |
8.4e+02 |
8 |
0 |
skl2onnx |
1.1 |
1 |
7.8e+02 |
7 |
0 |
3 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
StackingClassifier |
b-cl |
logreg |
{‘zipmap’: False} |
OK 14/1 |
0.96 |
1 |
0.98 |
1 |
1 |
0.86 |
1.1 |
0.95 |
1.6 |
0.92 |
1 |
0.98 |
1 |
1 |
1 |
StackingRegressor |
b-reg |
linreg |
OK 14/1 |
0.49 |
0.49 |
0.51 |
0.6 |
1.4 |
0.44 |
0.62 |
0.45 |
0.51 |
0.48 |
0.55 |
0.57 |
0.64 |
1.3 |
1.4 |
Tfidf…#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
TfidfTransformer |
CRASH |
||||
TfidfVectorizer |
text-col |
default |
OK 14/1 |
8 |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
TfidfTransformer |
CRASH |
Unable to find ‘./bench_onnxruntime1/bench_sum_onnxruntime1_TfidfTransforme… |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TfidfTransformer |
CRASH |
||||||||||||||||||||||||||||
TfidfVectorizer |
text-col |
default |
OK 14/1 |
1.0.2 |
1 |
1.3e+03 |
8 |
2 |
skl2onnx |
1.1 |
1 |
1.2e+03 |
7 |
2 |
1 |
1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TfidfVectorizer |
text-col |
default |
OK 14/1 |
0.26 |
0.26 |
0.22 |
0.19 |
0.18 |
0.23 |
0.48 |
0.24 |
0.36 |
0.22 |
0.23 |
0.19 |
0.19 |
0.18 |
0.18 |
TransferTransformer#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
TransferTransformer |
num-tr |
default |
? |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TransferTransformer |
num-tr |
default |
? |
1.0.2 |
TransformedTarget#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
b-reg |
default |
||||
m-reg |
default |
||||
~b-reg-64 |
default |
||||
~m-reg-64 |
default |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
b-reg |
default |
NO CONVERTER |
|||
m-reg |
default |
NO CONVERTER |
|||
~b-reg-64 |
default |
NO CONVERTER |
|||
~m-reg-64 |
default |
NO CONVERTER |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b-reg |
default |
1.0.2 |
|||||||||||||||||||||||||||
m-reg |
default |
1.0.2 |
|||||||||||||||||||||||||||
~b-reg-64 |
default |
1.0.2 |
|||||||||||||||||||||||||||
~m-reg-64 |
default |
1.0.2 |
Trees#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
DecisionTreeClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
DecisionTreeClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
1 |
|
DecisionTreeClassifier |
~b-cl-f100 |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
DecisionTreeClassifier |
~m-label |
default |
{‘zipmap’: False} |
OK 15/1 |
23 |
DecisionTreeRegressor |
b-reg |
default |
OK 15/1 |
1 |
|
DecisionTreeRegressor |
m-reg |
default |
OK 15/1 |
1 |
|
~b-reg-64 |
default |
ERR: 5ort_load |
1 |
||
DecisionTreeRegressor |
~b-reg-f100 |
default |
OK 15/1 |
1 |
|
~m-reg-64 |
default |
ERR: 5ort_load |
1 |
||
ExtraTreeClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
ExtraTreeClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
1 |
|
ExtraTreeClassifier |
~b-cl-f100 |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
ExtraTreeClassifier |
~m-label |
default |
{‘zipmap’: False} |
OK 15/1 |
23 |
ExtraTreeRegressor |
b-reg |
default |
OK 15/1 |
1 |
|
ExtraTreeRegressor |
m-reg |
default |
OK 15/1 |
1 |
|
~b-reg-64 |
default |
ERR: 5ort_load |
1 |
||
~m-reg-64 |
default |
ERR: 5ort_load |
1 |
||
ExtraTreesClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
ExtraTreesClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
1 |
|
ExtraTreesClassifier |
~m-label |
default |
{‘zipmap’: False} |
OK 15/1 |
89 |
ExtraTreesRegressor |
b-reg |
default |
OK 15/1 |
1 |
|
ExtraTreesRegressor |
m-reg |
default |
OK 15/1 |
1 |
|
~b-reg-64 |
default |
ERR: 5ort_load |
1 |
||
~m-reg-64 |
default |
ERR: 5ort_load |
1 |
||
IsolationForest |
outlier |
default |
OK 15/2 |
2.8e+02 |
|
IsolationForest |
outlier |
default |
OK 15/2 |
2.8e+02 |
|
LGBMClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 14/1 |
3 |
LGBMClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 14/1 |
3 |
LGBMClassifier |
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
3 |
LGBMRegressor |
b-reg |
default |
OK 14/1 |
2 |
|
~b-reg-64 |
default |
ERR: 5ort_load |
2 |
||
RandomForestClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
RandomForestClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
1 |
|
RandomForestClassifier |
~m-label |
default |
{‘zipmap’: False} |
OK 15/1 |
89 |
RandomForestRegressor |
b-reg |
default |
OK 15/1 |
1 |
|
RandomForestRegressor |
m-reg |
default |
OK 15/1 |
1 |
|
~b-reg-64 |
default |
ERR: 5ort_load |
1 |
||
~m-reg-64 |
default |
ERR: 5ort_load |
1 |
||
RandomTreesEmbedding |
num-tr |
default |
|||
b-cl |
default |
-1 |
|||
XGBClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
XGBClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1 |
XGBClassifier |
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
1 |
XGBRegressor |
b-reg |
default |
OK 15/1 |
1 |
|
~b-reg-64 |
default |
ERR: 5ort_load |
1 |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
~b-reg-64 |
default |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
||
~m-reg-64 |
default |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
||
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
~b-reg-64 |
default |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
||
~m-reg-64 |
default |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
||
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
~b-reg-64 |
default |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
||
~m-reg-64 |
default |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
||
LGBMClassifier |
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
~b-reg-64 |
default |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
||
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
|
~b-reg-64 |
default |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
||
~m-reg-64 |
default |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
||
RandomTreesEmbedding |
num-tr |
default |
The converter cannot convert the model with sparse outputs. |
||
b-cl |
default |
The model is using version 3 of domain ‘ai.onnx.ml’ not supported yet by th… |
|||
XGBClassifier |
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 10 : INVALID… |
~b-reg-64 |
default |
ERR: 5ort_load |
Unable to create InferenceSession due to ‘[ONNXRuntimeError] : 1 : FAIL : F… |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
DecisionTreeClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
7e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
7e+02 |
1 |
0 |
-1 |
3 |
1 |
1 |
-1 |
-1 |
||||||||
DecisionTreeClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
1.6e+03 |
1 |
0 |
skl2onnx |
1.1 |
1 |
1.6e+03 |
1 |
0 |
-1 |
21 |
1 |
6 |
-1 |
-1 |
||||||||
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
1.0.2 |
1 |
8.1e+02 |
1 |
0 |
skl2onnx |
1.1 |
-1 |
8.1e+02 |
1 |
0 |
-1 |
3 |
1 |
1 |
-1 |
1 |
|||||||||
DecisionTreeClassifier |
~b-cl-f100 |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
7e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
7e+02 |
1 |
0 |
-1 |
3 |
1 |
1 |
-1 |
-1 |
||||||||
DecisionTreeClassifier |
~m-label |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
6.4e+03 |
23 |
7 |
skl2onnx |
1.1 |
1 |
6.4e+03 |
23 |
7 |
7 |
63 |
1 |
9 |
2 |
-1 |
||||||||
DecisionTreeRegressor |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
8.9e+03 |
1 |
0 |
skl2onnx |
1.1 |
1 |
8.9e+03 |
1 |
0 |
2.2e+02 |
1 |
13 |
-1 |
|||||||||||
DecisionTreeRegressor |
m-reg |
default |
OK 15/1 |
1.0.2 |
1 |
1e+04 |
1 |
0 |
skl2onnx |
1.1 |
1 |
1e+04 |
1 |
0 |
2.2e+02 |
1 |
13 |
-1 |
|||||||||||
~b-reg-64 |
default |
ERR: 5ort_load |
1.0.2 |
1 |
1.1e+04 |
1 |
0 |
skl2onnx |
1.1 |
-1 |
1.1e+04 |
1 |
0 |
2.2e+02 |
1 |
13 |
1 |
||||||||||||
DecisionTreeRegressor |
~b-reg-f100 |
default |
OK 15/1 |
1.0.2 |
1 |
8.9e+03 |
1 |
0 |
skl2onnx |
1.1 |
1 |
8.9e+03 |
1 |
0 |
2.2e+02 |
1 |
11 |
-1 |
|||||||||||
~m-reg-64 |
default |
ERR: 5ort_load |
1.0.2 |
1 |
1.2e+04 |
1 |
0 |
skl2onnx |
1.1 |
-1 |
1.2e+04 |
1 |
0 |
2.2e+02 |
1 |
13 |
1 |
||||||||||||
ExtraTreeClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
1.4e+03 |
1 |
0 |
skl2onnx |
1.1 |
1 |
1.4e+03 |
1 |
0 |
-1 |
23 |
1 |
8 |
-1 |
-1 |
||||||||
ExtraTreeClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
4.5e+03 |
1 |
0 |
skl2onnx |
1.1 |
1 |
4.5e+03 |
1 |
0 |
-1 |
81 |
1 |
14 |
-1 |
-1 |
||||||||
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
1.0.2 |
1 |
1.7e+03 |
1 |
0 |
skl2onnx |
1.1 |
-1 |
1.7e+03 |
1 |
0 |
-1 |
23 |
1 |
8 |
-1 |
1 |
|||||||||
ExtraTreeClassifier |
~b-cl-f100 |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
7.8e+02 |
1 |
0 |
skl2onnx |
1.1 |
1 |
7.8e+02 |
1 |
0 |
-1 |
5 |
1 |
2 |
-1 |
-1 |
||||||||
ExtraTreeClassifier |
~m-label |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
1e+04 |
23 |
7 |
skl2onnx |
1.1 |
1 |
1e+04 |
23 |
7 |
7 |
1.3e+02 |
1 |
13 |
2 |
-1 |
||||||||
ExtraTreeRegressor |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
8.9e+03 |
1 |
0 |
skl2onnx |
1.1 |
1 |
8.9e+03 |
1 |
0 |
2.2e+02 |
1 |
14 |
-1 |
|||||||||||
ExtraTreeRegressor |
m-reg |
default |
OK 15/1 |
1.0.2 |
1 |
1e+04 |
1 |
0 |
skl2onnx |
1.1 |
1 |
1e+04 |
1 |
0 |
2.2e+02 |
1 |
14 |
-1 |
|||||||||||
~b-reg-64 |
default |
ERR: 5ort_load |
1.0.2 |
1 |
1.1e+04 |
1 |
0 |
skl2onnx |
1.1 |
-1 |
1.1e+04 |
1 |
0 |
2.2e+02 |
1 |
14 |
1 |
||||||||||||
~m-reg-64 |
default |
ERR: 5ort_load |
1.0.2 |
1 |
1.2e+04 |
1 |
0 |
skl2onnx |
1.1 |
-1 |
1.2e+04 |
1 |
0 |
2.2e+02 |
1 |
14 |
1 |
||||||||||||
ExtraTreesClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
11 |
6.9e+03 |
1 |
0 |
skl2onnx |
1.1 |
1 |
6.9e+03 |
1 |
0 |
-1 |
1.7e+02 |
10 |
8 |
-1 |
-1 |
||||||||
ExtraTreesClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
11 |
3.1e+04 |
1 |
0 |
skl2onnx |
1.1 |
1 |
3.1e+04 |
1 |
0 |
-1 |
6.5e+02 |
10 |
16 |
-1 |
-1 |
||||||||
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
1.0.2 |
11 |
6.9e+03 |
1 |
0 |
skl2onnx |
1.1 |
-1 |
6.9e+03 |
1 |
0 |
-1 |
1.7e+02 |
10 |
8 |
-1 |
1 |
|||||||||
ExtraTreesClassifier |
~m-label |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
11 |
9.2e+04 |
89 |
17 |
skl2onnx |
1.1 |
1 |
9.2e+04 |
89 |
17 |
26 |
1.3e+03 |
10 |
18 |
20 |
-1 |
||||||||
ExtraTreesRegressor |
b-reg |
default |
OK 15/1 |
1.0.2 |
11 |
8.4e+04 |
1 |
0 |
skl2onnx |
1.1 |
1 |
8.4e+04 |
1 |
0 |
2.2e+03 |
10 |
15 |
-1 |
|||||||||||
ExtraTreesRegressor |
m-reg |
default |
OK 15/1 |
1.0.2 |
11 |
9.7e+04 |
1 |
0 |
skl2onnx |
1.1 |
1 |
9.7e+04 |
1 |
0 |
2.2e+03 |
10 |
15 |
-1 |
|||||||||||
~b-reg-64 |
default |
ERR: 5ort_load |
1.0.2 |
11 |
1e+05 |
1 |
0 |
skl2onnx |
1.1 |
-1 |
1e+05 |
1 |
0 |
2.2e+03 |
10 |
15 |
1 |
||||||||||||
~m-reg-64 |
default |
ERR: 5ort_load |
1.0.2 |
11 |
1.2e+05 |
1 |
0 |
skl2onnx |
1.1 |
-1 |
1.2e+05 |
1 |
0 |
2.2e+03 |
10 |
15 |
1 |
||||||||||||
IsolationForest |
outlier |
default |
OK 15/2 |
1.0.2 |
11 |
6.2e+04 |
2.8e+02 |
12 |
skl2onnx |
1.1 |
2 |
6e+04 |
2.6e+02 |
12 |
20 |
8.2e+02 |
10 |
7 |
41 |
||||||||||
IsolationForest |
outlier |
default |
OK 15/2 |
1.0.2 |
11 |
6.2e+04 |
2.8e+02 |
12 |
skl2onnx |
1.1 |
2 |
6e+04 |
2.6e+02 |
12 |
20 |
8.2e+02 |
10 |
7 |
41 |
||||||||||
LGBMClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 14/1 |
1.0.2 |
1 |
1.5e+03 |
3 |
0 |
skl2onnx |
1.1 |
1 |
1.4e+03 |
1 |
0 |
-1 |
2 |
||||||||||||
LGBMClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 14/1 |
1.0.2 |
1 |
4.1e+03 |
3 |
0 |
skl2onnx |
1.1 |
1 |
4e+03 |
1 |
0 |
-1 |
2 |
||||||||||||
LGBMClassifier |
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
1.0.2 |
1 |
1.6e+03 |
3 |
0 |
skl2onnx |
1.1 |
-1 |
1.4e+03 |
1 |
0 |
1 |
2 |
||||||||||||
LGBMRegressor |
b-reg |
default |
OK 14/1 |
1.0.2 |
1 |
2.8e+04 |
2 |
0 |
skl2onnx |
1.1 |
1 |
2.8e+04 |
1 |
0 |
-1 |
1 |
|||||||||||||
~b-reg-64 |
default |
ERR: 5ort_load |
1.0.2 |
1 |
2.8e+04 |
2 |
0 |
skl2onnx |
1.1 |
-1 |
2.8e+04 |
1 |
0 |
1 |
1 |
||||||||||||||
RandomForestClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
11 |
3.3e+03 |
1 |
0 |
skl2onnx |
1.1 |
1 |
3.3e+03 |
1 |
0 |
-1 |
74 |
10 |
5 |
-1 |
-1 |
||||||||
RandomForestClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
11 |
1.1e+04 |
1 |
0 |
skl2onnx |
1.1 |
1 |
1.1e+04 |
1 |
0 |
-1 |
2.2e+02 |
10 |
8 |
-1 |
-1 |
||||||||
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
1.0.2 |
11 |
3.3e+03 |
1 |
0 |
skl2onnx |
1.1 |
-1 |
3.3e+03 |
1 |
0 |
-1 |
74 |
10 |
5 |
-1 |
1 |
|||||||||
RandomForestClassifier |
~m-label |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
11 |
4.4e+04 |
89 |
17 |
skl2onnx |
1.1 |
1 |
4.4e+04 |
89 |
17 |
26 |
5.3e+02 |
10 |
10 |
20 |
-1 |
||||||||
RandomForestRegressor |
b-reg |
default |
OK 15/1 |
1.0.2 |
11 |
5.2e+04 |
1 |
0 |
skl2onnx |
1.1 |
1 |
5.2e+04 |
1 |
0 |
1.4e+03 |
10 |
14 |
-1 |
|||||||||||
RandomForestRegressor |
m-reg |
default |
OK 15/1 |
1.0.2 |
11 |
5.9e+04 |
1 |
0 |
skl2onnx |
1.1 |
1 |
5.9e+04 |
1 |
0 |
1.4e+03 |
10 |
14 |
-1 |
|||||||||||
~b-reg-64 |
default |
ERR: 5ort_load |
1.0.2 |
11 |
6.2e+04 |
1 |
0 |
skl2onnx |
1.1 |
-1 |
6.2e+04 |
1 |
0 |
1.4e+03 |
10 |
14 |
1 |
||||||||||||
~m-reg-64 |
default |
ERR: 5ort_load |
1.0.2 |
11 |
7.2e+04 |
1 |
0 |
skl2onnx |
1.1 |
-1 |
7.2e+04 |
1 |
0 |
1.4e+03 |
10 |
14 |
1 |
||||||||||||
RandomTreesEmbedding |
num-tr |
default |
1.0.2 |
1e+02 |
4.1e+03 |
1e+02 |
5 |
||||||||||||||||||||||
b-cl |
default |
1.0.2 |
1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||||||||
XGBClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
1e+03 |
1 |
0 |
skl2onnx |
1.1 |
1 |
1e+03 |
1 |
0 |
||||||||||||||
XGBClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
1 |
5.7e+03 |
1 |
0 |
skl2onnx |
1.1 |
1 |
5.7e+03 |
1 |
0 |
||||||||||||||
XGBClassifier |
~b-cl-64 |
default |
{‘zipmap’: False} |
ERR: 5ort_load |
1.0.2 |
1 |
1.1e+03 |
1 |
0 |
skl2onnx |
1.1 |
1 |
1.1e+03 |
1 |
0 |
||||||||||||||
XGBRegressor |
b-reg |
default |
OK 15/1 |
1.0.2 |
1 |
8.2e+04 |
1 |
0 |
skl2onnx |
1.1 |
1 |
8.2e+04 |
1 |
0 |
-1 |
||||||||||||||
~b-reg-64 |
default |
ERR: 5ort_load |
1.0.2 |
1 |
8.2e+04 |
1 |
0 |
skl2onnx |
1.1 |
-1 |
8.2e+04 |
1 |
0 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
DecisionTreeClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
0.64 |
0.63 |
0.64 |
0.64 |
0.65 |
0.59 |
0.72 |
0.57 |
0.91 |
0.56 |
0.71 |
0.58 |
0.69 |
0.62 |
0.67 |
DecisionTreeClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
0.64 |
0.64 |
0.63 |
0.51 |
0.33 |
0.6 |
0.73 |
0.56 |
0.96 |
0.57 |
0.69 |
0.47 |
0.59 |
0.31 |
0.35 |
DecisionTreeClassifier |
~b-cl-f100 |
default |
{‘zipmap’: False} |
OK 15/1 |
0.64 |
0.63 |
0.63 |
0.49 |
0.34 |
0.59 |
0.72 |
0.58 |
0.92 |
0.56 |
0.71 |
0.43 |
0.53 |
0.34 |
0.35 |
DecisionTreeClassifier |
~m-label |
default |
{‘zipmap’: False} |
OK 15/1 |
4 |
3.8 |
3.2 |
2.1 |
1 |
3.7 |
4.8 |
3.3 |
5.9 |
2.9 |
3.6 |
2 |
2.2 |
0.98 |
1 |
DecisionTreeRegressor |
b-reg |
default |
OK 15/1 |
0.74 |
0.74 |
0.74 |
0.58 |
0.32 |
0.67 |
0.84 |
0.68 |
1.1 |
0.66 |
0.83 |
0.56 |
0.63 |
0.3 |
0.33 |
|
DecisionTreeRegressor |
m-reg |
default |
OK 15/1 |
0.75 |
0.77 |
0.77 |
0.63 |
0.4 |
0.7 |
0.87 |
0.69 |
1.2 |
0.7 |
0.85 |
0.58 |
0.69 |
0.38 |
0.43 |
|
DecisionTreeRegressor |
~b-reg-f100 |
default |
OK 15/1 |
0.75 |
0.76 |
0.75 |
0.48 |
0.38 |
0.67 |
0.87 |
0.69 |
1.1 |
0.55 |
0.85 |
0.43 |
0.52 |
0.37 |
0.39 |
|
ExtraTreeClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
0.59 |
0.6 |
0.59 |
0.62 |
0.58 |
0.55 |
0.68 |
0.54 |
0.87 |
0.54 |
0.69 |
0.57 |
0.72 |
0.56 |
0.6 |
ExtraTreeClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
0.61 |
0.6 |
0.62 |
0.54 |
0.47 |
0.56 |
0.69 |
0.55 |
0.89 |
0.54 |
0.67 |
0.51 |
0.62 |
0.46 |
0.49 |
ExtraTreeClassifier |
~b-cl-f100 |
default |
{‘zipmap’: False} |
OK 15/1 |
0.6 |
0.59 |
0.6 |
0.41 |
0.35 |
0.56 |
0.68 |
0.55 |
0.87 |
0.5 |
0.67 |
0.38 |
0.46 |
0.33 |
0.38 |
ExtraTreeClassifier |
~m-label |
default |
{‘zipmap’: False} |
OK 15/1 |
3.7 |
3.5 |
2.9 |
1.9 |
1.1 |
3.2 |
4.5 |
3 |
5.9 |
2.7 |
3 |
1.8 |
2 |
1 |
1.1 |
ExtraTreeRegressor |
b-reg |
default |
OK 15/1 |
0.75 |
0.74 |
0.75 |
0.58 |
1.1 |
0.66 |
0.86 |
0.68 |
1.1 |
0.68 |
0.9 |
0.53 |
0.64 |
0.29 |
2 |
|
ExtraTreeRegressor |
m-reg |
default |
OK 15/1 |
0.75 |
0.77 |
0.77 |
0.64 |
0.39 |
0.7 |
0.86 |
0.68 |
1.1 |
0.71 |
0.87 |
0.59 |
0.69 |
0.37 |
0.41 |
|
ExtraTreesClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
0.011 |
0.012 |
0.017 |
0.049 |
0.34 |
0.01 |
0.013 |
0.011 |
0.017 |
0.016 |
0.019 |
0.047 |
0.052 |
0.33 |
0.35 |
ExtraTreesClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
0.011 |
0.012 |
0.025 |
0.055 |
0.36 |
0.01 |
0.013 |
0.011 |
0.018 |
0.017 |
0.093 |
0.054 |
0.058 |
0.36 |
0.37 |
ExtraTreesClassifier |
~m-label |
default |
{‘zipmap’: False} |
OK 15/1 |
0.34 |
0.35 |
0.33 |
0.33 |
0.85 |
0.33 |
0.43 |
0.33 |
0.57 |
0.32 |
0.35 |
0.32 |
0.34 |
0.82 |
0.88 |
ExtraTreesRegressor |
b-reg |
default |
OK 15/1 |
0.012 |
0.013 |
0.015 |
0.03 |
0.16 |
0.011 |
0.014 |
0.012 |
0.019 |
0.014 |
0.018 |
0.028 |
0.031 |
0.16 |
0.16 |
|
ExtraTreesRegressor |
m-reg |
default |
OK 15/1 |
0.012 |
0.014 |
0.021 |
0.073 |
0.5 |
0.011 |
0.014 |
0.012 |
0.019 |
0.02 |
0.023 |
0.072 |
0.076 |
0.49 |
0.52 |
|
IsolationForest |
outlier |
default |
OK 15/2 |
1.1 |
1.1 |
1.1 |
1.2 |
1.5 |
1.1 |
1.3 |
1.1 |
1.6 |
1.1 |
1.1 |
1.2 |
1.2 |
1.5 |
1.5 |
|
IsolationForest |
outlier |
default |
OK 15/2 |
1.1 |
1.1 |
1.1 |
1.2 |
1.5 |
0.98 |
1.3 |
1 |
1.6 |
1.1 |
1.1 |
1.2 |
1.2 |
1.5 |
1.5 |
|
LGBMClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 14/1 |
0.33 |
0.31 |
0.49 |
1.4 |
3.8 |
0.26 |
0.9 |
0.26 |
0.47 |
0.41 |
0.53 |
1.3 |
1.7 |
3.7 |
3.9 |
LGBMClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 14/1 |
0.35 |
0.38 |
0.57 |
1.7 |
3 |
0.25 |
0.39 |
0.35 |
0.57 |
0.5 |
0.72 |
1.3 |
2 |
2.9 |
3.1 |
LGBMRegressor |
b-reg |
default |
OK 14/1 |
0.37 |
0.42 |
0.46 |
0.67 |
0.77 |
0.34 |
0.43 |
0.25 |
0.59 |
0.32 |
0.53 |
0.66 |
0.68 |
0.77 |
0.77 |
|
RandomForestClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
0.012 |
0.012 |
0.022 |
0.055 |
0.36 |
0.011 |
0.014 |
0.012 |
0.018 |
0.018 |
0.024 |
0.053 |
0.056 |
0.36 |
0.37 |
RandomForestClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
0.012 |
0.013 |
0.02 |
0.062 |
0.39 |
0.011 |
0.014 |
0.012 |
0.018 |
0.018 |
0.022 |
0.057 |
0.07 |
0.39 |
0.39 |
RandomForestClassifier |
~m-label |
default |
{‘zipmap’: False} |
OK 15/1 |
0.37 |
0.37 |
0.35 |
0.31 |
0.64 |
0.35 |
0.45 |
0.35 |
0.61 |
0.34 |
0.36 |
0.31 |
0.32 |
0.62 |
0.65 |
RandomForestRegressor |
b-reg |
default |
OK 15/1 |
0.011 |
0.013 |
0.015 |
0.027 |
0.15 |
0.011 |
0.013 |
0.012 |
0.019 |
0.013 |
0.017 |
0.026 |
0.028 |
0.15 |
0.15 |
|
RandomForestRegressor |
m-reg |
default |
OK 15/1 |
0.012 |
0.013 |
0.02 |
0.07 |
0.51 |
0.011 |
0.013 |
0.012 |
0.019 |
0.018 |
0.022 |
0.068 |
0.074 |
0.48 |
0.54 |
|
XGBClassifier |
b-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
0.019 |
0.02 |
0.031 |
0.11 |
0.71 |
0.016 |
0.022 |
0.015 |
0.029 |
0.029 |
0.034 |
0.1 |
0.12 |
0.71 |
0.71 |
XGBClassifier |
m-cl |
default |
{‘zipmap’: False} |
OK 15/1 |
0.019 |
0.021 |
0.033 |
0.12 |
0.79 |
0.017 |
0.022 |
0.015 |
0.03 |
0.028 |
0.037 |
0.12 |
0.12 |
0.77 |
0.81 |
XGBRegressor |
b-reg |
default |
OK 15/1 |
0.019 |
0.028 |
0.04 |
0.19 |
1.1 |
0.017 |
0.022 |
0.023 |
0.037 |
0.038 |
0.042 |
0.19 |
0.19 |
1.1 |
1.1 |
TruncatedSVD#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
TruncatedSVD |
num-tr |
default |
OK 13/ |
1 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TruncatedSVD |
num-tr |
default |
OK 13/ |
1.0.2 |
1 |
2.4e+02 |
1 |
1 |
skl2onnx |
1.1 |
2.4e+02 |
1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TruncatedSVD |
num-tr |
default |
OK 13/ |
0.89 |
0.85 |
0.84 |
0.93 |
0.82 |
0.79 |
1.9 |
0.77 |
1.2 |
0.76 |
0.98 |
0.81 |
1 |
0.74 |
0.91 |
Tweedie#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
TweedieRegressor |
b-reg |
default |
OK 15/ |
3 |
|
TweedieRegressor |
m-reg |
default |
ERR: 1training_time |
-1 |
|
TweedieRegressor |
~b-reg-64 |
default |
OK 15/ |
3 |
|
TweedieRegressor |
~m-reg-64 |
default |
ERR: 1training_time |
-1 |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
TweedieRegressor |
m-reg |
default |
ERR: 1training_time |
y should be a 1d array, got an array of shape (112, 2) instead. |
|
TweedieRegressor |
~m-reg-64 |
default |
ERR: 1training_time |
y should be a 1d array, got an array of shape (112, 2) instead. |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TweedieRegressor |
b-reg |
default |
OK 15/ |
1.0.2 |
1 |
4 |
1 |
3.6e+02 |
3 |
3 |
skl2onnx |
1.1 |
3.6e+02 |
3 |
3 |
1 |
|||||||||||||
TweedieRegressor |
m-reg |
default |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||||
TweedieRegressor |
~b-reg-64 |
default |
OK 15/ |
1.0.2 |
1 |
4 |
1 |
3.8e+02 |
3 |
3 |
skl2onnx |
1.1 |
3.8e+02 |
3 |
3 |
1 |
|||||||||||||
TweedieRegressor |
~m-reg-64 |
default |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TweedieRegressor |
b-reg |
default |
OK 15/ |
1.9 |
1.6 |
1.8 |
3.5 |
11 |
1.4 |
4.4 |
1.4 |
2.4 |
1.6 |
1.8 |
3.3 |
3.7 |
10 |
11 |
|
TweedieRegressor |
~b-reg-64 |
default |
OK 15/ |
1.5 |
1.6 |
1.8 |
3.8 |
4.1 |
1.4 |
1.8 |
1.4 |
2.5 |
1.6 |
1.9 |
3.5 |
4 |
3.4 |
5.2 |
VarianceThreshold#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
VarianceThreshold |
num-tr |
default |
OK 15/1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
VarianceThreshold |
num-tr |
default |
OK 15/1 |
1.0.2 |
1 |
2.5e+02 |
1 |
1 |
skl2onnx |
1.1 |
1 |
2.5e+02 |
1 |
1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
VarianceThreshold |
num-tr |
default |
OK 15/1 |
0.7 |
0.65 |
0.64 |
0.72 |
0.98 |
0.59 |
1.9 |
0.59 |
0.95 |
0.59 |
0.71 |
0.63 |
0.79 |
0.84 |
1.2 |
Voting#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
VotingClassifier |
b-cl |
logreg-noflatten |
{‘zipmap’: False} |
OK 15/1 |
12 |
VotingClassifier |
m-cl |
logreg-noflatten |
{‘zipmap’: False} |
OK 15/1 |
12 |
VotingRegressor |
b-reg |
linreg |
OK 15/1 |
7 |
|
VotingRegressor |
m-reg |
linreg |
ERR: 1training_time |
-1 |
|
VotingRegressor |
~b-reg-64 |
linreg |
-1 |
||
VotingRegressor |
~m-reg-64 |
linreg |
ERR: 1training_time |
-1 |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
VotingRegressor |
m-reg |
linreg |
ERR: 1training_time |
y should be a 1d array, got an array of shape (112, 2) instead. |
|
VotingRegressor |
~b-reg-64 |
linreg |
‘float’ object has no attribute ‘reshape’ |
||
VotingRegressor |
~m-reg-64 |
linreg |
ERR: 1training_time |
y should be a 1d array, got an array of shape (112, 2) instead. |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
VotingClassifier |
b-cl |
logreg-noflatten |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
3 |
2 |
2 |
1.4e+03 |
12 |
4 |
skl2onnx |
1.1 |
1 |
1.4e+03 |
12 |
3 |
1 |
2 |
||||||||||
VotingClassifier |
m-cl |
logreg-noflatten |
{‘zipmap’: False} |
OK 15/1 |
1.0.2 |
3 |
6 |
2 |
1.5e+03 |
12 |
4 |
skl2onnx |
1.1 |
1 |
1.5e+03 |
12 |
3 |
1 |
2 |
||||||||||
VotingRegressor |
b-reg |
linreg |
OK 15/1 |
1.0.2 |
3 |
8 |
2 |
5.6e+02 |
7 |
1 |
skl2onnx |
1.1 |
1 |
5.6e+02 |
7 |
1 |
|||||||||||||
VotingRegressor |
m-reg |
linreg |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
|||||||||||||||
VotingRegressor |
~b-reg-64 |
linreg |
1.0.2 |
3 |
8 |
2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
||||||||||||||||
VotingRegressor |
~m-reg-64 |
linreg |
ERR: 1training_time |
1.0.2 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
-1 |
name |
problem |
scenario |
optim |
opset15 |
RT/SKL-N=1 |
N=10 |
N=100 |
N=1000 |
N=10000 |
RT/SKL-N=1-min |
RT/SKL-N=1-max |
N=10-min |
N=10-max |
N=100-min |
N=100-max |
N=1000-min |
N=1000-max |
N=10000-min |
N=10000-max |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
VotingClassifier |
b-cl |
logreg-noflatten |
{‘zipmap’: False} |
OK 15/1 |
1.1 |
1.1 |
0.99 |
0.95 |
0.82 |
0.91 |
1.9 |
0.99 |
1.9 |
0.94 |
1 |
0.91 |
1 |
0.81 |
0.83 |
VotingClassifier |
m-cl |
logreg-noflatten |
{‘zipmap’: False} |
OK 15/1 |
1.1 |
1.1 |
0.94 |
0.68 |
0.43 |
0.98 |
1.3 |
0.95 |
1.7 |
0.86 |
1 |
0.65 |
0.7 |
0.42 |
0.43 |
VotingRegressor |
b-reg |
linreg |
OK 15/1 |
0.97 |
0.99 |
1 |
1.3 |
3.6 |
0.86 |
1.2 |
0.89 |
1.5 |
0.95 |
1.1 |
1.2 |
1.4 |
3.5 |
3.8 |
WOETransformer#
name |
problem |
scenario |
optim |
opset15 |
onx_nnodes |
---|---|---|---|---|---|
WOETransformer |
num-tr |
default |
ERR: 1training_time |
name |
problem |
scenario |
optim |
opset15 |
ERROR-msg |
---|---|---|---|---|---|
WOETransformer |
num-tr |
default |
ERR: 1training_time |
object of type ‘NoneType’ has no len() |
name |
problem |
scenario |
optim |
opset15 |
skl_version |
skl_nop |
skl_ncoef |
skl_nlin |
onx_size |
onx_nnodes |
onx_ninits |
onx_producer_name |
onx_producer_version |
onx_ai.onnx.ml |
onx_size_optim |
onx_nnodes_optim |
onx_ninits_optim |
onx_op_Reshape |
skl_nnodes |
skl_ntrees |
skl_max_depth |
onx_op_Cast |
onx_mlprodict |
onx_op_ZipMap |
onx_com.microsoft |
onx_op_Identity |
onx_op_Identity_optim |
onx_subgraphs |
onx_subgraphs_optim |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
WOETransformer |
num-tr |
default |
ERR: 1training_time |
1.0.2 |