Notebooks Coverage

Report on last executions.

68% 2020-12-27

_images/nbcov-2020-12-27.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%

0.104

2020-12-27

centrale/centrale_201606.ipynb

Big Data, Azure, Machine Learning, Python

True

2.291

2

2

2

2

100%

0.086

2020-12-27

centrale/centrale_201606_sysrec.ipynb

Recommandations sur le web

True

0.984

1

1

1

3

100%

0.911

2020-12-27

ensae/2017_1a_ensae_nocture.ipynb

ENSAE 1A : nocturne

True

2.731

10

10

10

4

0%

nan

ensae/introcode.ipynb

Leçon de code

nan

90

0

5

100%

0.372

2020-12-27

ensae/kaggle_review_2016.ipynb

Revue de compétitions Kaggle (2016)

True

2.263

2

2

2

6

100%

0.385

2020-12-27

ensae/kaggle_review_2017.ipynb

Revue de compétitions Kaggle (2017)

True

2.145

2

2

2

7

0%

nan

ensae_api/sklearn_api.ipynb

API de sciki-learn et modèles customisés

nan

78

0

8

100%

4.269

2020-12-27

meshs/automation_finance_trading.ipynb

Les algorithmes, outils de décision automatique.

True

5.974

10

10

10

9

100%

100.241

2020-12-13

msexp/onnx_deploy.ipynb

Deploy machine learned models with ONNX

True

103.776

82

82

82

10

100%

15.436

2020-12-27

pydata/10_plotting_libraries.ipynb

10 plotting libraries

True

16.495

16

16

16

11

100%

17.866

2020-12-20

pydata/big_datashader.ipynb

datashader

True

19.019

28

28

28

12

80%

0.882

2020-12-20

pydata/gui_geoplotlib.ipynb

geoplotlib

True

1.886

5

4

4

13

100%

1.316

2020-12-27

pydata/im_biopython.ipynb

biopython

True

2.237

6

6

6

14

100%

8.522

2020-12-27

pydata/im_cartopy.ipynb

cartopy

True

9.387

4

4

4

15

100%

4.296

2020-12-20

pydata/im_ete3.ipynb

ete3

True

5.435

11

11

11

16

100%

2.821

2020-12-27

pydata/im_lifelines.ipynb

lifelines

True

3.661

7

7

7

17

90%

1.380

2020-12-27

pydata/im_matplotlib.ipynb

matplotlib

True

2.259

11

10

10

18

100%

4.250

2020-12-27

pydata/im_missingno.ipynb

missingno

True

5.087

13

13

13

19

100%

9.480

2020-12-27

pydata/im_mpl_scatter_density.ipynb

mpl-scatter-density

True

10.902

5

5

5

20

100%

0.768

2020-12-27

pydata/im_networkx.ipynb

networkx

True

2.595

4

4

4

21

100%

7.294

2020-12-27

pydata/im_plotnine.ipynb

plotnine

True

8.148

9

9

9

22

100%

0.537

2020-12-27

pydata/im_reportlab.ipynb

reportlab

True

1.394

4

4

4

23

100%

1.570

2020-12-27

pydata/im_scikit_plot.ipynb

scikit-plot

True

2.444

5

5

5

24

100%

3.753

2020-12-27

pydata/im_seaborn.ipynb

seaborn

True

4.615

5

5

5

25

100%

1.422

2020-12-27

pydata/js_bokeh.ipynb

bokeh

True

3.023

7

7

7

26

50%

0.118

2020-12-27

pydata/js_lightning_python.ipynb

lightning-python

True

2.699

4

2

2

27

0%

nan

pydata/js_mpld3.ipynb

mpld3

nan

17

0

28

100%

6.248

2020-12-27

pydata/js_plotly.ipynb

plotly

True

7.136

9

9

9

29

100%

4.623

2020-12-27

pydata/js_pydy_mass_spring_damper.ipynb

pydy

True

6.629

32

32

32

30

85%

0.724

2020-12-27

pydata/js_pyecharts.ipynb

pyecharts

True

1.554

7

6

6

31

100%

1.254

2020-12-27

pydata/js_pygal.ipynb

pygal

True

2.114

7

7

7

32

100%

2.001

2020-12-27

pydata/js_pythreejs.ipynb

pythreejs

True

2.966

5

5

5

33

100%

0.708

2020-12-27

pydata/js_vega.ipynb

vega

True

1.540

6

6

6

34

100%

0.556

2020-12-27

pydata/jsonly_treant.ipynb

treant-js

True

1.668

7

7

7

35

100%

2.911

2020-12-27

pydata/pyjs_bqplot.ipynb

bqplot

True

4.388

19

19

19

36

100%

1.458

2020-12-27

pydata/pyjs_brython.ipynb

brython, brythonmagic

True

4.742

18

18

18

37

100%

1.083

2020-12-27

pydata/pyjsc_vispy.ipynb

vispy

True

2.940

8

8

8

38

100%

62.519

2020-12-13

pyparis/onnx_deploy_pyparis.ipynb

Deploy machine learned models with ONNX

True

67.120

38

38

38

39

100%

46.429

2020-12-27

sklearn/onnx_sklearn_consortium.ipynb

ONNX, scikit-learn, persistence, deployment

True

48.286

47

47

47

40

100%

2.940

2020-12-27

sklearn/onnx_sklearn_custom.ipynb

Convert custom transformer into ONNX

True

3.852

17

17

17

_images/nbcov.png