Notebooks Coverage

Report on last executions.

100% 2019-07-14

index	coverage	exe time	last execution	name	title	success	time	nb cells	nb runs	nb valid
0	100%	25.032	2019-07-14	explore/search_images_keras.ipynb	Search images with deep learning (keras)	True	26.068	49	49	49
1	100%	7.042	2019-07-14	explore/search_images_torch.ipynb	Search images with deep learning (torch)	True	8.090	31	31	31
2	100%	83.032	2019-07-14	sklearn/faster_polynomial_features.ipynb	Faster Polynomial Features	True	84.033	26	26	26
3	100%	4.788	2019-07-14	sklearn/logistic_regression_clustering.ipynb	LogisticRegression and Clustering	True	5.728	16	16	16
4	100%	8.731	2019-07-14	sklearn/piecewise_classification.ipynb	Piecewise classification with scikit-learn predictors	True	9.628	16	16	16
5	100%	3.300	2019-07-14	sklearn/piecewise_linear_regression.ipynb	Piecewise linear regression with scikit-learn predictors	True	4.257	18	18	18
6	100%	24.128	2019-07-14	sklearn/predictable_tsne.ipynb	Predictable t-SNE	True	25.053	16	16	16
7	100%	2.294	2019-07-14	sklearn/quantile_mlpregression.ipynb	Quantile MLPRegressor	True	3.148	6	6	6
8	100%	2.381	2019-07-14	sklearn/quantile_regression.ipynb	Quantile Regression	True	3.250	14	14	14
9	100%	4.927	2019-07-14	sklearn/regression_confidence_interval.ipynb	Regression with confidence interval	True	5.775	20	20	20
10	100%	1.397	2019-07-14	sklearn/traceable_ngrams_tfidf.ipynb	Traceable n-grams with tf-idf	True	2.411	10	10	10
11	100%	2.523	2019-07-14	sklearn/visualize_pipeline.ipynb	Visualize a scikit-learn pipeline	True	3.420	25	25	25
12	100%	54.886	2019-07-14	sklearn_c/piecewise_linear_regression_criterion.ipynb	Custom DecisionTreeRegressor adapted to a linear regression	True	55.852	32	32	32
13	100%	4.421	2019-07-14	tree/leave_neighbors.ipynb	Close leaves in a decision trees	True	5.268	15	15	15