Notebooks Coverage

Report on last executions.

100% 2021-06-15

index	coverage	exe time	last execution	name	title	success	time	nb cells	nb runs	nb valid
0	100%	9.594	2021-06-07	notebooks/einsum_decomposition.ipynb	Einsum decomposition	True	11.375	37	37	37
1	100%	11.336	2021-06-07	notebooks/numpy_api_onnx_ccl.ipynb	Introduction to a numpy API for ONNX: CustomClassifier	True	13.163	19	19	19
2	100%	82.514	2021-06-07	notebooks/numpy_api_onnx_ftr.ipynb	Introduction to a numpy API for ONNX: FunctionTransformer	True	84.296	33	33	33
3	100%	25.080	2021-06-07	notebooks/onnx_discrepencies.ipynb	Discrepencies with ONNX	True	26.898	40	40	40
4	100%	17.093	2021-06-07	notebooks/onnx_float32_and_64.ipynb	ONNX graph, single or double floats	True	18.913	31	31	31
5	100%	78.789	2021-06-07	notebooks/onnx_float_double_skl_decision_trees.ipynb	Tricky detail when converting a random forest from scikit-learn into ONNX	True	80.570	33	33	33
6	100%	157.264	2021-06-07	notebooks/onnx_node_time.ipynb	Time processing for every ONNX nodes in a graph	True	159.141	52	52	52
7	100%	58.373	2021-06-07	notebooks/onnx_pdist.ipynb	Pairwise distances with ONNX (pdist)	True	60.246	40	40	40
8	100%	79.189	2021-06-07	notebooks/onnx_profile.ipynb	Memory usage	True	81.077	31	31	31
9	100%	57.870	2021-06-07	notebooks/onnx_profile_ort.ipynb	Profiling with onnxruntime	True	59.738	46	46	46
10	100%	29.927	2021-06-07	notebooks/onnx_sbs.ipynb	ONNX side by side	True	31.733	33	33	33
11	100%	19.213	2021-06-07	notebooks/onnx_shaker.ipynb	Precision loss due to float32 conversion with ONNX	True	21.100	37	37	37
12	100%	30.280	2021-06-07	notebooks/onnx_visualization.ipynb	ONNX visualization	True	32.039	27	27	27
13	100%	11.671	2021-06-07	notebooks/sklearn_grammar_lr.ipynb	Converts a logistic regression into C	True	13.404	13	13	13
14	100%	80.183	2021-06-07	notebooks/topk_cpp.ipynb	Fast TopK elements	True	82.017	16	16	16
15	100%	254.885	2021-06-07	notebooks/transfer_learning.ipynb	Transfer Learning with ONNX	True	256.706	30	30	30