Notebooks Coverage

Report on last executions.

26% 2021-09-26

_images/nbcov-2021-09-26.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

0%

nan

centrale/centrale_201606.ipynb

Big Data, Azure, Machine Learning, Python

nan

11

0

2

0%

nan

centrale/centrale_201606_sysrec.ipynb

Recommandations sur le web

nan

17

0

3

0%

nan

ensae/2017_1a_ensae_nocture.ipynb

ENSAE 1A : nocturne

nan

35

0

4

0%

nan

ensae/introcode.ipynb

Leçon de code

nan

90

0

5

0%

nan

ensae/kaggle_review_2016.ipynb

Revue de compétitions Kaggle (2016)

nan

21

0

6

0%

nan

ensae/kaggle_review_2017.ipynb

Revue de compétitions Kaggle (2017)

nan

19

0

7

0%

nan

ensae_api/sklearn_api.ipynb

API de sciki-learn et modèles customisés

nan

78

0

8

0%

nan

meshs/automation_finance_trading.ipynb

Les algorithmes, outils de décision automatique.

nan

42

0

9

0%

nan

msexp/onnx_deploy.ipynb

Deploy machine learned models with ONNX

nan

130

0

10

0%

nan

pydata/10_plotting_libraries.ipynb

10 plotting libraries

nan

84

0

11

0%

nan

pydata/big_datashader.ipynb

datashader

nan

35

0

12

0%

nan

pydata/gui_geoplotlib.ipynb

geoplotlib

nan

8

0

13

100%

2.130

2021-09-26

pydata/im_biopython.ipynb

biopython

True

4.561

6

6

6

14

100%

17.514

2021-09-26

pydata/im_cartopy.ipynb

cartopy

True

19.943

4

4

4

15

0%

nan

pydata/im_ete3.ipynb

ete3

nan

14

0

16

100%

9.417

2021-09-26

pydata/im_lifelines.ipynb

lifelines

True

11.860

7

7

7

17

90%

4.904

2021-09-26

pydata/im_matplotlib.ipynb

matplotlib

True

7.331

11

10

10

18

100%

25.561

2021-09-26

pydata/im_missingno.ipynb

missingno

True

28.030

13

13

13

19

100%

23.910

2021-09-26

pydata/im_mpl_scatter_density.ipynb

mpl-scatter-density

True

26.353

5

5

5

20

100%

3.158

2021-09-26

pydata/im_networkx.ipynb

networkx

True

5.638

4

4

4

21

100%

20.440

2021-09-26

pydata/im_plotnine.ipynb

plotnine

True

22.885

9

9

9

22

100%

1.091

2021-09-26

pydata/im_reportlab.ipynb

reportlab

True

3.539

4

4

4

23

100%

4.171

2021-09-26

pydata/im_scikit_plot.ipynb

scikit-plot

True

6.605

5

5

5

24

100%

20.539

2021-09-26

pydata/im_seaborn.ipynb

seaborn

True

23.205

5

5

5

25

100%

6.192

2021-09-26

pydata/js_bokeh.ipynb

bokeh

True

8.667

7

7

7

26

0%

nan

pydata/js_lightning_python.ipynb

lightning-python

nan

9

0

27

0%

nan

pydata/js_mpld3.ipynb

mpld3

nan

17

0

28

100%

8.617

2021-09-26

pydata/js_plotly.ipynb

plotly

True

11.305

9

9

9

29

100%

9.024

2021-09-26

pydata/js_pydy_mass_spring_damper.ipynb

pydy

True

11.561

32

32

32

30

85%

2.307

2021-09-26

pydata/js_pyecharts.ipynb

pyecharts

True

4.782

7

6

6

31

100%

3.084

2021-09-26

pydata/js_pygal.ipynb

pygal

True

5.648

7

7

7

32

100%

3.502

2021-09-26

pydata/js_pythreejs.ipynb

pythreejs

True

6.729

5

5

5

33

100%

1.350

2021-09-26

pydata/js_vega.ipynb

vega

True

3.804

6

6

6

34

100%

0.759

2021-09-26

pydata/jsonly_treant.ipynb

treant-js

True

3.490

7

7

7

35

100%

5.791

2021-09-26

pydata/pyjs_bqplot.ipynb

bqplot

True

11.271

19

19

19

36

100%

2.013

2021-09-26

pydata/pyjs_brython.ipynb

brython, brythonmagic

True

4.574

18

18

18

37

0%

nan

pydata/pyjsc_vispy.ipynb

vispy

nan

11

0

38

0%

nan

pyparis/onnx_deploy_pyparis.ipynb

Deploy machine learned models with ONNX

nan

70

0

39

100%

56.418

2021-09-26

sklearn/onnx_sklearn_consortium.ipynb

ONNX, scikit-learn, persistence, deployment

True

59.003

47

47

47

40

100%

9.809

2021-09-26

sklearn/onnx_sklearn_custom.ipynb

Convert custom transformer into ONNX

True

12.306

17

17

17

_images/nbcov.png