Notebooks Coverage

Report on last executions.

38% 2020-11-24

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