Notebooks Coverage

Report on last executions.

77% 2020-04-06

_images/nbcov-2020-04-06.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%

0.092

2020-04-06

centrale/centrale_201606.ipynb

Big Data, Azure, Machine Learning, Python

True

2.106

2

2

2

2

100%

0.116

2020-04-06

centrale/centrale_201606_sysrec.ipynb

Recommandations sur le web

True

0.985

1

1

1

3

100%

1.177

2020-04-06

ensae/2017_1a_ensae_nocture.ipynb

ENSAE 1A : nocturne

True

3.338

10

10

10

4

100%

0.383

2020-04-06

ensae/kaggle_review_2016.ipynb

Revue de compétitions Kaggle (2016)

True

2.974

2

2

2

5

100%

0.395

2020-04-06

ensae/kaggle_review_2017.ipynb

Revue de compétitions Kaggle (2017)

True

2.353

2

2

2

6

0%

nan

ensae_api/sklearn_api.ipynb

API de sciki-learn et modèles customisés

nan

78

0

7

100%

3.915

2020-04-06

meshs/automation_finance_trading.ipynb

Les algorithmes, outils de décision automatique.

True

5.891

10

10

10

8

100%

233.691

2020-04-06

msexp/onnx_deploy.ipynb

Deploy machine learned models with ONNX

True

234.661

77

77

77

9

100%

7.288

2020-04-06

pydata/10_plotting_libraries.ipynb

10 plotting libraries

True

8.270

16

16

16

10

100%

19.243

2020-03-09

pydata/big_datashader.ipynb

datashader

True

20.418

28

28

28

11

80%

0.979

2020-04-06

pydata/gui_geoplotlib.ipynb

geoplotlib

True

2.382

5

4

4

12

100%

1.357

2020-04-06

pydata/im_biopython.ipynb

biopython

True

2.216

6

6

6

13

100%

0.813

2020-04-06

pydata/im_cartopy.ipynb

cartopy

True

1.701

4

4

4

14

100%

4.604

2020-04-06

pydata/im_ete3.ipynb

ete3

True

6.669

11

11

11

15

100%

2.543

2020-04-06

pydata/im_lifelines.ipynb

lifelines

True

3.412

7

7

7

16

90%

1.296

2020-04-06

pydata/im_matplotlib.ipynb

matplotlib

True

2.196

11

10

10

17

100%

4.175

2020-04-06

pydata/im_missingno.ipynb

missingno

True

5.018

13

13

13

18

100%

22.944

2020-04-06

pydata/im_mpl_scatter_density.ipynb

mpl-scatter-density

True

23.815

6

6

6

19

100%

0.846

2020-04-06

pydata/im_networkx.ipynb

networkx

True

2.979

4

4

4

20

100%

7.118

2020-04-06

pydata/im_plotnine.ipynb

plotnine

True

7.984

9

9

9

21

100%

0.700

2020-04-06

pydata/im_reportlab.ipynb

reportlab

True

1.608

4

4

4

22

100%

1.185

2020-04-06

pydata/im_scikit_plot.ipynb

scikit-plot

True

2.018

5

5

5

23

100%

4.734

2020-04-06

pydata/im_seaborn.ipynb

seaborn

True

5.605

5

5

5

24

100%

1.412

2020-04-06

pydata/js_bokeh.ipynb

bokeh

True

3.780

7

7

7

25

50%

0.115

2020-04-06

pydata/js_lightning_python.ipynb

lightning-python

True

1.133

4

2

2

26

0%

nan

pydata/js_mpld3.ipynb

mpld3

nan

17

0

27

100%

9.618

2020-04-06

pydata/js_plotly.ipynb

plotly

True

10.569

9

9

9

28

100%

4.158

2020-04-06

pydata/js_pydy_mass_spring_damper.ipynb

pydy

True

6.401

32

32

32

29

85%

1.073

2020-04-06

pydata/js_pyecharts.ipynb

pyecharts

True

1.912

7

6

6

30

100%

1.222

2020-04-06

pydata/js_pygal.ipynb

pygal

True

2.159

7

7

7

31

100%

1.505

2020-04-06

pydata/js_pythreejs.ipynb

pythreejs

True

2.511

5

5

5

32

100%

0.728

2020-04-06

pydata/js_vega.ipynb

vega

True

1.609

6

6

6

33

100%

0.596

2020-04-06

pydata/jsonly_treant.ipynb

treant-js

True

1.639

7

7

7

34

100%

3.150

2020-04-06

pydata/pyjs_bqplot.ipynb

bqplot

True

4.580

19

19

19

35

100%

1.573

2020-04-06

pydata/pyjs_brython.ipynb

brython, brythonmagic

True

3.686

18

18

18

36

100%

1.050

2020-04-06

pydata/pyjsc_vispy.ipynb

vispy

True

2.463

8

8

8

37

100%

147.837

2020-04-06

pyparis/onnx_deploy_pyparis.ipynb

Deploy machine learned models with ONNX

True

151.644

38

38

38

38

100%

55.588

2020-04-06

sklearn/onnx_sklearn_consortium.ipynb

ONNX, scikit-learn, persistence, deployment

True

57.622

47

47

47

39

100%

2.862

2020-04-06

sklearn/onnx_sklearn_custom.ipynb

Convert custom transformer into ONNX

True

3.756

17

17

17

_images/nbcov.png