Notebooks Coverage¶

Report on last executions.

100% 2019-07-14

_images/nbcov-2019-07-14.png

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

_images/nbcov.png