Notebooks Coverage

Report on last executions.

38% 2020-11-24

_images/nbcov-2020-11-24.png

index

coverage

exe time

last execution

name

title

success

time

nb cells

nb runs

nb valid

0

100%

21.872

2020-11-24

notebooks/onnx_discrepencies.ipynb

Discrepencies with ONNX

True

22.829

40

40

40

1

100%

6.208

2020-11-24

notebooks/onnx_float32_and_64.ipynb

ONNX graph, single or double floats

True

7.086

31

31

31

2

100%

27.538

2020-11-24

notebooks/onnx_float_double_skl_decision_trees.ipynb

Tricky detail when converting a random forest from scikit-learn into ONNX

True

32.009

33

33

33

3

0%

nan

notebooks/onnx_node_time.ipynb

Time processing for every ONNX nodes in a graph

nan

73

0

4

0%

nan

notebooks/onnx_pdist.ipynb

Pairwise distances with ONNX (pdist)

nan

56

0

5

0%

nan

notebooks/onnx_profile.ipynb

Memory usage

nan

43

0

6

100%

8.853

2020-11-24

notebooks/onnx_sbs.ipynb

ONNX side by side

True

9.769

33

33

33

7

100%

6.237

2020-11-24

notebooks/onnx_shaker.ipynb

Precision loss due to float32 conversion with ONNX

True

7.599

37

37

37

8

0%

nan

notebooks/onnx_topk.ipynb

TopK benchmark

nan

48

0

9

0%

nan

notebooks/onnx_tree_ensemble_parallel.ipynb

TreeEnsembleRegressor and parallelisation

nan

70

0

10

100%

30.132

2020-11-24

notebooks/onnx_visualization.ipynb

ONNX visualization

True

31.129

27

27

27

11

100%

23.319

2020-11-24

notebooks/sklearn_grammar_lr.ipynb

Converts a logistic regression into C

True

24.190

13

13

13

12

0%

nan

notebooks/topk_cpp.ipynb

Fast TopK elements

nan

23

0

13

0%

nan

notebooks/transfer_learning.ipynb

Transfer Learning with ONNX

nan

41

0

_images/nbcov.png