GaussianProcessClassifier - b-cl - rational - cdist#
Fitted on a problem type b-cl
(see find_suitable_problem),
method predict_proba matches output .
Model was converted with additional parameter: <class 'sklearn.gaussian_process._gpc.GaussianProcessClassifier'>={'optim': 'cdist'}.
GaussianProcessClassifier(kernel=RationalQuadratic(alpha=1, length_scale=1),
n_jobs=8, random_state=0)
index |
0 |
|---|---|
skl_nop |
1 |
onx_size |
56637 |
onx_nnodes |
46 |
onx_ninits |
18 |
onx_doc_string |
|
onx_ir_version |
8 |
onx_domain |
ai.onnx |
onx_model_version |
0 |
onx_producer_name |
skl2onnx |
onx_producer_version |
1.13.1 |
17 |
|
onx_ai.onnx.ml |
1 |
onx_com.microsoft |
1 |
onx_op_Cast |
2 |
onx_op_ZipMap |
1 |
onx_op_Reshape |
2 |
onx_size_optim |
56573 |
onx_nnodes_optim |
45 |
onx_ninits_optim |
18 |
fit_classes_.shape |
2 |
1 |
|
2 |