Notebooks Coverage

Report on last executions.

78% 2020-06-28

_images/nbcov-2020-06-28.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%

0.096

2020-06-28

centrale/centrale_201606.ipynb

Big Data, Azure, Machine Learning, Python

True

0.954

2

2

2

2

100%

0.100

2020-06-28

centrale/centrale_201606_sysrec.ipynb

Recommandations sur le web

True

0.968

1

1

1

3

100%

0.959

2020-06-28

ensae/2017_1a_ensae_nocture.ipynb

ENSAE 1A : nocturne

True

1.836

10

10

10

4

100%

0.373

2020-06-28

ensae/kaggle_review_2016.ipynb

Revue de compétitions Kaggle (2016)

True

1.301

2

2

2

5

100%

0.368

2020-06-28

ensae/kaggle_review_2017.ipynb

Revue de compétitions Kaggle (2017)

True

1.233

2

2

2

6

0%

nan

ensae_api/sklearn_api.ipynb

API de sciki-learn et modèles customisés

nan

78

0

7

100%

3.423

2020-06-28

meshs/automation_finance_trading.ipynb

Les algorithmes, outils de décision automatique.

True

4.314

10

10

10

8

100%

108.828

2020-06-21

msexp/onnx_deploy.ipynb

Deploy machine learned models with ONNX

True

110.164

82

82

82

9

100%

14.995

2020-06-28

pydata/10_plotting_libraries.ipynb

10 plotting libraries

True

15.989

16

16

16

10

100%

14.327

2020-06-21

pydata/big_datashader.ipynb

datashader

True

15.728

28

28

28

11

80%

1.237

2020-06-21

pydata/gui_geoplotlib.ipynb

geoplotlib

True

3.557

5

4

4

12

100%

1.375

2020-06-28

pydata/im_biopython.ipynb

biopython

True

2.269

6

6

6

13

100%

8.293

2020-06-28

pydata/im_cartopy.ipynb

cartopy

True

9.146

4

4

4

14

100%

2.376

2020-06-21

pydata/im_ete3.ipynb

ete3

True

3.562

11

11

11

15

100%

2.440

2020-06-28

pydata/im_lifelines.ipynb

lifelines

True

3.266

7

7

7

16

90%

1.247

2020-06-28

pydata/im_matplotlib.ipynb

matplotlib

True

2.214

11

10

10

17

100%

4.136

2020-06-28

pydata/im_missingno.ipynb

missingno

True

4.990

13

13

13

18

100%

23.267

2020-06-28

pydata/im_mpl_scatter_density.ipynb

mpl-scatter-density

True

24.125

6

6

6

19

100%

0.884

2020-06-28

pydata/im_networkx.ipynb

networkx

True

1.826

4

4

4

20

100%

6.991

2020-06-28

pydata/im_plotnine.ipynb

plotnine

True

7.860

9

9

9

21

100%

0.680

2020-06-28

pydata/im_reportlab.ipynb

reportlab

True

1.488

4

4

4

22

100%

1.209

2020-06-28

pydata/im_scikit_plot.ipynb

scikit-plot

True

2.065

5

5

5

23

100%

4.730

2020-06-28

pydata/im_seaborn.ipynb

seaborn

True

5.644

5

5

5

24

100%

1.397

2020-06-28

pydata/js_bokeh.ipynb

bokeh

True

2.720

7

7

7

25

50%

0.105

2020-06-28

pydata/js_lightning_python.ipynb

lightning-python

True

1.024

4

2

2

26

0%

nan

pydata/js_mpld3.ipynb

mpld3

nan

17

0

27

100%

6.291

2020-06-28

pydata/js_plotly.ipynb

plotly

True

7.232

9

9

9

28

100%

4.132

2020-06-28

pydata/js_pydy_mass_spring_damper.ipynb

pydy

True

5.532

32

32

32

29

85%

0.763

2020-06-28

pydata/js_pyecharts.ipynb

pyecharts

True

1.659

7

6

6

30

100%

1.210

2020-06-28

pydata/js_pygal.ipynb

pygal

True

2.159

7

7

7

31

100%

1.507

2020-06-28

pydata/js_pythreejs.ipynb

pythreejs

True

2.481

5

5

5

32

100%

0.703

2020-06-28

pydata/js_vega.ipynb

vega

True

1.586

6

6

6

33

100%

0.569

2020-06-28

pydata/jsonly_treant.ipynb

treant-js

True

1.949

7

7

7

34

100%

2.527

2020-06-28

pydata/pyjs_bqplot.ipynb

bqplot

True

4.017

19

19

19

35

100%

1.529

2020-06-28

pydata/pyjs_brython.ipynb

brython, brythonmagic

True

2.506

18

18

18

36

100%

1.092

2020-06-28

pydata/pyjsc_vispy.ipynb

vispy

True

2.034

8

8

8

37

100%

52.416

2020-06-21

pyparis/onnx_deploy_pyparis.ipynb

Deploy machine learned models with ONNX

True

53.794

38

38

38

38

100%

29.761

2020-06-28

sklearn/onnx_sklearn_consortium.ipynb

ONNX, scikit-learn, persistence, deployment

True

30.972

47

47

47

39

100%

2.927

2020-06-28

sklearn/onnx_sklearn_custom.ipynb

Convert custom transformer into ONNX

True

3.911

17

17

17

_images/nbcov.png