Notebooks Coverage

Report on last executions.

77% 2019-11-12

_images/nbcov-2019-11-12.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%

0.086

2019-11-12

centrale/centrale_201606.ipynb

Big Data, Azure, Machine Learning, Python

True

1.712

2

2

2

2

100%

0.074

2019-11-12

centrale/centrale_201606_sysrec.ipynb

Recommandations sur le web

True

0.893

1

1

1

3

100%

0.694

2019-11-12

ensae/2017_1a_ensae_nocture.ipynb

ENSAE 1A : nocturne

True

2.532

10

10

10

4

100%

0.363

2019-11-12

ensae/kaggle_review_2016.ipynb

Revue de compétitions Kaggle (2016)

True

2.101

2

2

2

5

100%

0.371

2019-11-12

ensae/kaggle_review_2017.ipynb

Revue de compétitions Kaggle (2017)

True

1.992

2

2

2

6

0%

nan

ensae_api/sklearn_api.ipynb

API de sciki-learn et modèles customisés

nan

78

0

7

100%

3.628

2019-11-12

meshs/automation_finance_trading.ipynb

Les algorithmes, outils de décision automatique.

True

5.238

10

10

10

8

100%

103.371

2019-11-11

msexp/onnx_deploy.ipynb

Deploy machine learned models with ONNX

True

104.256

77

77

77

9

100%

5.027

2019-11-12

pydata/10_plotting_libraries.ipynb

10 plotting libraries

True

5.857

16

16

16

10

100%

23.001

2019-11-11

pydata/big_datashader.ipynb

datashader

True

24.097

28

28

28

11

80%

1.039

2019-11-11

pydata/gui_geoplotlib.ipynb

geoplotlib

True

1.898

5

4

4

12

100%

0.744

2019-11-12

pydata/im_biopython.ipynb

biopython

True

1.553

6

6

6

13

100%

0.841

2019-11-12

pydata/im_cartopy.ipynb

cartopy

True

1.643

4

4

4

14

100%

9.160

2019-11-11

pydata/im_ete3.ipynb

ete3

True

10.143

11

11

11

15

100%

2.032

2019-11-12

pydata/im_lifelines.ipynb

lifelines

True

2.825

7

7

7

16

90%

1.125

2019-11-12

pydata/im_matplotlib.ipynb

matplotlib

True

1.943

11

10

10

17

100%

5.607

2019-11-12

pydata/im_missingno.ipynb

missingno

True

6.618

13

13

13

18

100%

23.525

2019-11-12

pydata/im_mpl_scatter_density.ipynb

mpl-scatter-density

True

24.293

6

6

6

19

100%

0.956

2019-11-12

pydata/im_networkx.ipynb

networkx

True

3.364

4

4

4

20

100%

4.779

2019-11-12

pydata/im_plotnine.ipynb

plotnine

True

5.545

9

9

9

21

100%

0.306

2019-11-12

pydata/im_reportlab.ipynb

reportlab

True

1.101

4

4

4

22

100%

1.442

2019-11-12

pydata/im_scikit_plot.ipynb

scikit-plot

True

2.207

5

5

5

23

100%

5.387

2019-11-12

pydata/im_seaborn.ipynb

seaborn

True

6.169

5

5

5

24

100%

1.150

2019-11-12

pydata/js_bokeh.ipynb

bokeh

True

3.020

7

7

7

25

50%

0.091

2019-11-12

pydata/js_lightning_python.ipynb

lightning-python

True

1.755

4

2

2

26

0%

nan

pydata/js_mpld3.ipynb

mpld3

nan

17

0

27

100%

2.588

2019-11-12

pydata/js_plotly.ipynb

plotly

True

3.384

9

9

9

28

100%

4.161

2019-11-12

pydata/js_pydy_mass_spring_damper.ipynb

pydy

True

5.845

32

32

32

29

85%

0.465

2019-11-12

pydata/js_pyecharts.ipynb

pyecharts

True

1.263

7

6

6

30

100%

1.004

2019-11-12

pydata/js_pygal.ipynb

pygal

True

1.816

7

7

7

31

100%

1.009

2019-11-12

pydata/js_pythreejs.ipynb

pythreejs

True

1.904

5

5

5

32

100%

0.708

2019-11-12

pydata/js_vega.ipynb

vega

True

1.499

6

6

6

33

100%

0.642

2019-11-12

pydata/jsonly_treant.ipynb

treant-js

True

1.564

7

7

7

34

100%

2.321

2019-11-12

pydata/pyjs_bqplot.ipynb

bqplot

True

4.080

19

19

19

35

100%

1.667

2019-11-12

pydata/pyjs_brython.ipynb

brython, brythonmagic

True

3.370

18

18

18

36

100%

1.175

2019-11-12

pydata/pyjsc_vispy.ipynb

vispy

True

2.850

8

8

8

37

100%

54.529

2019-11-11

pyparis/onnx_deploy_pyparis.ipynb

Deploy machine learned models with ONNX

True

56.233

38

38

38

38

100%

56.136

2019-11-12

sklearn/onnx_sklearn_consortium.ipynb

ONNX, scikit-learn, persistence, deployment

True

57.809

47

47

47

39

100%

3.178

2019-11-12

sklearn/onnx_sklearn_custom.ipynb

Convert custom transformer into ONNX

True

3.989

17

17

17

_images/nbcov.png