Notebooks Coverage#

Report on last executions.

82% 2022-06-14

_images/nbcov-2022-06-14.png

index

coverage

exe time

last execution

name

title

success

time

nb cells

nb runs

nb valid

0

0%

nan

explore/search_images_keras.ipynb

Search images with deep learning (keras)

nan

70

0

1

100%

63.012

2022-06-14

explore/search_images_torch.ipynb

Search images with deep learning (torch)

True

68.190

31

31

31

2

100%

66.060

2022-06-14

sklearn/decision_tree_logreg.ipynb

Decision Tree and Logistic Regression

True

71.274

17

17

17

3

100%

199.571

2022-06-14

sklearn/faster_polynomial_features.ipynb

Faster Polynomial Features

True

204.812

26

26

26

4

100%

19.437

2022-06-14

sklearn/kmeans_l1.ipynb

KMeans with norm L1

True

24.501

16

16

16

5

100%

25.701

2022-06-14

sklearn/logistic_regression_clustering.ipynb

LogisticRegression and Clustering

True

30.760

16

16

16

6

100%

44.587

2022-06-14

sklearn/piecewise_classification.ipynb

Piecewise classification with scikit-learn predictors

True

49.676

17

17

17

7

100%

16.975

2022-06-14

sklearn/piecewise_linear_regression.ipynb

Piecewise linear regression with scikit-learn predictors

True

22.110

19

19

19

8

100%

183.081

2022-06-14

sklearn/predictable_tsne.ipynb

Predictable t-SNE

True

188.154

16

16

16

9

100%

13.359

2022-06-14

sklearn/quantile_mlpregression.ipynb

Quantile MLPRegressor

True

18.393

7

7

7

10

100%

11.731

2022-06-14

sklearn/quantile_regression.ipynb

Quantile Regression

True

16.857

15

15

15

11

100%

25.119

2022-06-14

sklearn/regression_confidence_interval.ipynb

Regression with confidence interval

True

30.197

25

25

25

12

100%

49.470

2022-06-14

sklearn/sklearn_transformed_target.ipynb

Transformed Target

True

54.552

28

28

28

13

100%

4.386

2022-06-14

sklearn/traceable_ngrams_tfidf.ipynb

Traceable n-grams with tf-idf

True

9.771

10

10

10

14

100%

10.934

2022-06-14

sklearn/visualize_pipeline.ipynb

Visualize a scikit-learn pipeline

True

16.079

26

26

26

15

100%

47.593

2022-06-14

sklearn_c/piecewise_linear_regression_criterion.ipynb

Custom DecisionTreeRegressor adapted to a linear regression

True

52.700

33

33

33

16

100%

28.199

2022-06-14

tree/leave_neighbors.ipynb

Close leaves in a decision trees

True

33.363

16

16

16

_images/nbcov.png