Notebooks Coverage

Report on last executions.

68% 2020-09-27

_images/nbcov-2020-09-27.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%

0.091

2020-09-27

centrale/centrale_201606.ipynb

Big Data, Azure, Machine Learning, Python

True

1.557

2

2

2

2

100%

0.087

2020-09-27

centrale/centrale_201606_sysrec.ipynb

Recommandations sur le web

True

1.044

1

1

1

3

100%

8.167

2020-09-27

ensae/2017_1a_ensae_nocture.ipynb

ENSAE 1A : nocturne

True

9.939

10

10

10

4

0%

nan

ensae/introcode.ipynb

Leçon de code

nan

90

0

5

100%

0.381

2020-09-27

ensae/kaggle_review_2016.ipynb

Revue de compétitions Kaggle (2016)

True

2.327

2

2

2

6

100%

0.369

2020-09-27

ensae/kaggle_review_2017.ipynb

Revue de compétitions Kaggle (2017)

True

1.935

2

2

2

7

0%

nan

ensae_api/sklearn_api.ipynb

API de sciki-learn et modèles customisés

nan

78

0

8

100%

4.293

2020-09-27

meshs/automation_finance_trading.ipynb

Les algorithmes, outils de décision automatique.

True

5.794

10

10

10

9

100%

95.438

2020-09-20

msexp/onnx_deploy.ipynb

Deploy machine learned models with ONNX

True

96.468

82

82

82

10

100%

15.341

2020-09-27

pydata/10_plotting_libraries.ipynb

10 plotting libraries

True

16.338

16

16

16

11

100%

16.155

2020-09-20

pydata/big_datashader.ipynb

datashader

True

19.621

28

28

28

12

80%

0.801

2020-09-20

pydata/gui_geoplotlib.ipynb

geoplotlib

True

1.673

5

4

4

13

100%

1.290

2020-09-27

pydata/im_biopython.ipynb

biopython

True

2.123

6

6

6

14

100%

8.378

2020-09-27

pydata/im_cartopy.ipynb

cartopy

True

9.222

4

4

4

15

100%

4.368

2020-09-20

pydata/im_ete3.ipynb

ete3

True

5.238

11

11

11

16

100%

3.087

2020-09-27

pydata/im_lifelines.ipynb

lifelines

True

3.921

7

7

7

17

90%

1.329

2020-09-27

pydata/im_matplotlib.ipynb

matplotlib

True

2.155

11

10

10

18

100%

4.165

2020-09-27

pydata/im_missingno.ipynb

missingno

True

5.237

13

13

13

19

100%

9.097

2020-09-27

pydata/im_mpl_scatter_density.ipynb

mpl-scatter-density

True

10.031

5

5

5

20

100%

0.825

2020-09-27

pydata/im_networkx.ipynb

networkx

True

2.320

4

4

4

21

100%

7.041

2020-09-27

pydata/im_plotnine.ipynb

plotnine

True

8.205

9

9

9

22

100%

0.540

2020-09-27

pydata/im_reportlab.ipynb

reportlab

True

1.419

4

4

4

23

100%

1.524

2020-09-27

pydata/im_scikit_plot.ipynb

scikit-plot

True

2.416

5

5

5

24

100%

4.073

2020-09-27

pydata/im_seaborn.ipynb

seaborn

True

5.036

5

5

5

25

100%

1.792

2020-09-27

pydata/js_bokeh.ipynb

bokeh

True

3.412

7

7

7

26

50%

0.083

2020-09-27

pydata/js_lightning_python.ipynb

lightning-python

True

1.948

4

2

2

27

0%

nan

pydata/js_mpld3.ipynb

mpld3

nan

17

0

28

100%

6.564

2020-09-27

pydata/js_plotly.ipynb

plotly

True

7.449

9

9

9

29

100%

3.835

2020-09-27

pydata/js_pydy_mass_spring_damper.ipynb

pydy

True

5.593

32

32

32

30

85%

0.702

2020-09-27

pydata/js_pyecharts.ipynb

pyecharts

True

1.552

7

6

6

31

100%

1.249

2020-09-27

pydata/js_pygal.ipynb

pygal

True

2.138

7

7

7

32

100%

1.922

2020-09-27

pydata/js_pythreejs.ipynb

pythreejs

True

2.857

5

5

5

33

100%

0.693

2020-09-27

pydata/js_vega.ipynb

vega

True

1.512

6

6

6

34

100%

0.674

2020-09-27

pydata/jsonly_treant.ipynb

treant-js

True

1.590

7

7

7

35

100%

4.970

2020-09-27

pydata/pyjs_bqplot.ipynb

bqplot

True

6.443

19

19

19

36

100%

1.589

2020-09-27

pydata/pyjs_brython.ipynb

brython, brythonmagic

True

3.566

18

18

18

37

100%

0.951

2020-09-27

pydata/pyjsc_vispy.ipynb

vispy

True

2.547

8

8

8

38

100%

52.269

2020-09-20

pyparis/onnx_deploy_pyparis.ipynb

Deploy machine learned models with ONNX

True

53.376

38

38

38

39

100%

30.587

2020-09-27

sklearn/onnx_sklearn_consortium.ipynb

ONNX, scikit-learn, persistence, deployment

True

32.183

47

47

47

40

100%

2.820

2020-09-27

sklearn/onnx_sklearn_custom.ipynb

Convert custom transformer into ONNX

True

3.690

17

17

17

_images/nbcov.png