Notebooks Coverage

Report on last executions.

77% 2020-02-24

_images/nbcov-2020-02-24.png

index

coverage

exe time

last execution

name

title

success

time

nb cells

nb runs

nb valid

0

0%

nan

centrale/azure_pig.ipynb

HDInsight, PIG

nan

35

0

1

100%

0.079

2020-02-24

centrale/centrale_201606.ipynb

Big Data, Azure, Machine Learning, Python

True

1.806

2

2

2

2

100%

0.083

2020-02-24

centrale/centrale_201606_sysrec.ipynb

Recommandations sur le web

True

0.884

1

1

1

3

100%

0.784

2020-02-24

ensae/2017_1a_ensae_nocture.ipynb

ENSAE 1A : nocturne

True

2.645

10

10

10

4

100%

0.337

2020-02-24

ensae/kaggle_review_2016.ipynb

Revue de compétitions Kaggle (2016)

True

2.251

2

2

2

5

100%

0.329

2020-02-24

ensae/kaggle_review_2017.ipynb

Revue de compétitions Kaggle (2017)

True

2.046

2

2

2

6

0%

nan

ensae_api/sklearn_api.ipynb

API de sciki-learn et modèles customisés

nan

78

0

7

100%

3.316

2020-02-24

meshs/automation_finance_trading.ipynb

Les algorithmes, outils de décision automatique.

True

5.333

10

10

10

8

100%

186.828

2020-02-17

msexp/onnx_deploy.ipynb

Deploy machine learned models with ONNX

True

187.871

77

77

77

9

100%

13.111

2020-02-24

pydata/10_plotting_libraries.ipynb

10 plotting libraries

True

13.957

16

16

16

10

100%

18.493

2020-02-17

pydata/big_datashader.ipynb

datashader

True

19.498

28

28

28

11

80%

1.404

2020-02-17

pydata/gui_geoplotlib.ipynb

geoplotlib

True

2.268

5

4

4

12

100%

1.225

2020-02-24

pydata/im_biopython.ipynb

biopython

True

2.027

6

6

6

13

100%

0.820

2020-02-24

pydata/im_cartopy.ipynb

cartopy

True

1.591

4

4

4

14

100%

4.778

2020-02-17

pydata/im_ete3.ipynb

ete3

True

5.691

11

11

11

15

100%

2.886

2020-02-24

pydata/im_lifelines.ipynb

lifelines

True

3.802

7

7

7

16

90%

1.126

2020-02-24

pydata/im_matplotlib.ipynb

matplotlib

True

1.926

11

10

10

17

100%

4.856

2020-02-24

pydata/im_missingno.ipynb

missingno

True

5.684

13

13

13

18

100%

9.017

2020-02-24

pydata/im_mpl_scatter_density.ipynb

mpl-scatter-density

True

9.869

6

6

6

19

100%

0.850

2020-02-24

pydata/im_networkx.ipynb

networkx

True

2.547

4

4

4

20

100%

6.605

2020-02-24

pydata/im_plotnine.ipynb

plotnine

True

7.406

9

9

9

21

100%

0.524

2020-02-24

pydata/im_reportlab.ipynb

reportlab

True

1.387

4

4

4

22

100%

1.023

2020-02-24

pydata/im_scikit_plot.ipynb

scikit-plot

True

1.794

5

5

5

23

100%

4.655

2020-02-24

pydata/im_seaborn.ipynb

seaborn

True

5.475

5

5

5

24

100%

1.632

2020-02-24

pydata/js_bokeh.ipynb

bokeh

True

3.650

7

7

7

25

50%

0.075

2020-02-24

pydata/js_lightning_python.ipynb

lightning-python

True

1.773

4

2

2

26

0%

nan

pydata/js_mpld3.ipynb

mpld3

nan

17

0

27

100%

9.823

2020-02-24

pydata/js_plotly.ipynb

plotly

True

10.675

9

9

9

28

100%

4.681

2020-02-24

pydata/js_pydy_mass_spring_damper.ipynb

pydy

True

6.469

32

32

32

29

85%

0.822

2020-02-24

pydata/js_pyecharts.ipynb

pyecharts

True

1.600

7

6

6

30

100%

1.006

2020-02-24

pydata/js_pygal.ipynb

pygal

True

1.806

7

7

7

31

100%

1.403

2020-02-24

pydata/js_pythreejs.ipynb

pythreejs

True

2.321

5

5

5

32

100%

0.682

2020-02-24

pydata/js_vega.ipynb

vega

True

1.442

6

6

6

33

100%

0.524

2020-02-24

pydata/jsonly_treant.ipynb

treant-js

True

2.546

7

7

7

34

100%

2.192

2020-02-24

pydata/pyjs_bqplot.ipynb

bqplot

True

3.507

19

19

19

35

100%

1.459

2020-02-24

pydata/pyjs_brython.ipynb

brython, brythonmagic

True

3.288

18

18

18

36

100%

0.925

2020-02-24

pydata/pyjsc_vispy.ipynb

vispy

True

2.636

8

8

8

37

100%

111.583

2020-02-17

pyparis/onnx_deploy_pyparis.ipynb

Deploy machine learned models with ONNX

True

113.164

38

38

38

38

100%

55.212

2020-02-24

sklearn/onnx_sklearn_consortium.ipynb

ONNX, scikit-learn, persistence, deployment

True

57.028

47

47

47

39

100%

2.745

2020-02-24

sklearn/onnx_sklearn_custom.ipynb

Convert custom transformer into ONNX

True

3.589

17

17

17

_images/nbcov.png