Notebooks Coverage

Report on last executions.

24% 2022-04-26

_images/nbcov-2022-04-26.png

index

coverage

exe time

last execution

name

title

success

time

nb cells

nb runs

nb valid

0

0%

nan

actuaires/introprogpy.ipynb

Datascience et programmation

nan

67

0

1

0%

nan

centrale/azure_pig.ipynb

HDInsight, PIG

nan

35

0

2

0%

nan

centrale/centrale_201606.ipynb

Big Data, Azure, Machine Learning, Python

nan

11

0

3

0%

nan

centrale/centrale_201606_sysrec.ipynb

Recommandations sur le web

nan

17

0

4

0%

nan

ensae/2017_1a_ensae_nocture.ipynb

ENSAE 1A : nocturne

nan

35

0

5

0%

nan

ensae/introcode.ipynb

Leçon de code

nan

90

0

6

0%

nan

ensae/kaggle_review_2016.ipynb

Revue de compétitions Kaggle (2016)

nan

21

0

7

0%

nan

ensae/kaggle_review_2017.ipynb

Revue de compétitions Kaggle (2017)

nan

19

0

8

0%

nan

ensae_api/sklearn_api.ipynb

API de sciki-learn et modèles customisés

nan

78

0

9

0%

nan

meshs/automation_finance_trading.ipynb

Les algorithmes, outils de décision automatique.

nan

42

0

10

0%

nan

msexp/onnx_deploy.ipynb

Deploy machine learned models with ONNX

nan

130

0

11

0%

nan

pydata/10_plotting_libraries.ipynb

10 plotting libraries

nan

84

0

12

0%

nan

pydata/big_datashader.ipynb

datashader

nan

35

0

13

0%

nan

pydata/gui_geoplotlib.ipynb

geoplotlib

nan

8

0

14

100%

2.089

2022-04-26

pydata/im_biopython.ipynb

biopython

True

6.135

6

6

6

15

100%

20.118

2022-04-26

pydata/im_cartopy.ipynb

cartopy

True

24.076

4

4

4

16

0%

nan

pydata/im_ete3.ipynb

ete3

nan

14

0

17

100%

10.658

2022-04-26

pydata/im_lifelines.ipynb

lifelines

True

14.744

7

7

7

18

90%

6.615

2022-04-26

pydata/im_matplotlib.ipynb

matplotlib

True

10.703

11

10

10

19

100%

19.221

2022-04-26

pydata/im_missingno.ipynb

missingno

True

23.301

13

13

13

20

100%

25.123

2022-04-26

pydata/im_mpl_scatter_density.ipynb

mpl-scatter-density

True

29.239

5

5

5

21

100%

7.098

2022-04-26

pydata/im_networkx.ipynb

networkx

True

11.166

4

4

4

22

100%

20.249

2022-04-26

pydata/im_plotnine.ipynb

plotnine

True

24.321

9

9

9

23

100%

1.092

2022-04-26

pydata/im_reportlab.ipynb

reportlab

True

5.202

4

4

4

24

100%

6.470

2022-04-26

pydata/im_scikit_plot.ipynb

scikit-plot

True

10.532

5

5

5

25

100%

21.604

2022-04-26

pydata/im_seaborn.ipynb

seaborn

True

25.729

5

5

5

26

100%

6.047

2022-04-26

pydata/js_bokeh.ipynb

bokeh

True

10.132

7

7

7

27

0%

nan

pydata/js_lightning_python.ipynb

lightning-python

nan

9

0

28

0%

nan

pydata/js_mpld3.ipynb

mpld3

nan

17

0

29

100%

12.499

2022-04-26

pydata/js_plotly.ipynb

plotly

True

16.796

9

9

9

30

100%

13.182

2022-04-26

pydata/js_pydy_mass_spring_damper.ipynb

pydy

True

17.299

32

32

32

31

85%

3.071

2022-04-26

pydata/js_pyecharts.ipynb

pyecharts

True

7.327

7

6

6

32

100%

1.734

2022-04-26

pydata/js_pygal.ipynb

pygal

True

5.929

7

7

7

33

100%

3.946

2022-04-26

pydata/js_pythreejs.ipynb

pythreejs

True

8.563

5

5

5

34

100%

1.460

2022-04-26

pydata/js_vega.ipynb

vega

True

5.545

6

6

6

35

100%

0.635

2022-04-26

pydata/jsonly_treant.ipynb

treant-js

True

5.172

7

7

7

36

100%

8.035

2022-04-26

pydata/pyjs_bqplot.ipynb

bqplot

True

14.833

19

19

19

37

100%

1.924

2022-04-26

pydata/pyjs_brython.ipynb

brython, brythonmagic

True

6.077

18

18

18

38

0%

nan

pydata/pyjsc_vispy.ipynb

vispy

nan

11

0

39

0%

nan

pyparis/onnx_deploy_pyparis.ipynb

Deploy machine learned models with ONNX

nan

70

0

40

100%

53.309

2022-04-26

sklearn/onnx_sklearn_consortium.ipynb

ONNX, scikit-learn, persistence, deployment

True

57.499

47

47

47

41

100%

10.653

2022-04-26

sklearn/onnx_sklearn_custom.ipynb

Convert custom transformer into ONNX

True

14.881

17

17

17

_images/nbcov.png