Notebooks Coverage#

Report on last executions.

82% 2023-01-24

_images/nbcov-2023-01-24.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%

52.842

2023-01-24

explore/search_images_torch.ipynb

Search images with deep learning (torch)

True

55.997

31

31

31

2

100%

44.682

2023-01-24

sklearn/decision_tree_logreg.ipynb

Decision Tree and Logistic Regression

True

47.856

17

17

17

3

100%

166.404

2023-01-24

sklearn/faster_polynomial_features.ipynb

Faster Polynomial Features

True

169.620

26

26

26

4

100%

14.780

2023-01-24

sklearn/kmeans_l1.ipynb

KMeans with norm L1

True

17.906

16

16

16

5

100%

15.433

2023-01-24

sklearn/logistic_regression_clustering.ipynb

LogisticRegression and Clustering

True

18.501

16

16

16

6

100%

30.419

2023-01-24

sklearn/piecewise_classification.ipynb

Piecewise classification with scikit-learn predictors

True

33.490

17

17

17

7

100%

10.242

2023-01-24

sklearn/piecewise_linear_regression.ipynb

Piecewise linear regression with scikit-learn predictors

True

13.344

19

19

19

8

100%

152.413

2023-01-24

sklearn/predictable_tsne.ipynb

Predictable t-SNE

True

155.485

16

16

16

9

100%

7.394

2023-01-24

sklearn/quantile_mlpregression.ipynb

Quantile MLPRegressor

True

10.604

7

7

7

10

100%

6.846

2023-01-24

sklearn/quantile_regression.ipynb

Quantile Regression

True

9.972

15

15

15

11

100%

15.064

2023-01-24

sklearn/regression_confidence_interval.ipynb

Regression with confidence interval

True

18.173

25

25

25

12

100%

31.372

2023-01-24

sklearn/sklearn_transformed_target.ipynb

Transformed Target

True

34.481

28

28

28

13

100%

3.253

2023-01-24

sklearn/traceable_ngrams_tfidf.ipynb

Traceable n-grams with tf-idf

True

6.508

10

10

10

14

100%

6.113

2023-01-24

sklearn/visualize_pipeline.ipynb

Visualize a scikit-learn pipeline

True

9.183

26

26

26

15

100%

35.455

2023-01-24

sklearn_c/piecewise_linear_regression_criterion.ipynb

Custom DecisionTreeRegressor adapted to a linear regression

True

38.613

33

33

33

16

100%

17.459

2023-01-24

tree/leave_neighbors.ipynb

Close leaves in a decision trees

True

23.548

16

16

16

_images/nbcov.png