Notebooks Coverage

Report on last executions.

89% 2019-08-19

_images/nbcov-2019-08-19.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%

0.100

2019-08-19

centrale/centrale_201606.ipynb

Big Data, Azure, Machine Learning, Python

True

1.018

2

2

2

2

100%

0.099

2019-08-19

centrale/centrale_201606_sysrec.ipynb

Recommandations sur le web

True

0.985

1

1

1

3

100%

1.131

2019-08-19

ensae/2017_1a_ensae_nocture.ipynb

ENSAE 1A : nocturne

True

2.101

10

10

10

4

100%

0.357

2019-08-19

ensae/kaggle_review_2016.ipynb

Revue de compétitions Kaggle (2016)

True

1.285

2

2

2

5

100%

0.382

2019-08-19

ensae/kaggle_review_2017.ipynb

Revue de compétitions Kaggle (2017)

True

1.303

2

2

2

6

100%

4.056

2019-08-19

meshs/automation_finance_trading.ipynb

Les algorithmes, outils de décision automatique.

True

4.894

10

10

10

7

100%

110.667

2019-08-12

msexp/onnx_deploy.ipynb

Deploy machine learned models with ONNX

True

111.725

77

77

77

8

100%

7.296

2019-08-19

pydata/10_plotting_libraries.ipynb

10 plotting libraries

True

8.366

16

16

16

9

100%

15.439

2019-08-12

pydata/big_datashader.ipynb

datashader

True

16.544

28

28

28

10

80%

9.241

2019-08-12

pydata/gui_geoplotlib.ipynb

geoplotlib

True

10.164

5

4

4

11

100%

1.226

2019-08-19

pydata/im_biopython.ipynb

biopython

True

2.100

6

6

6

12

100%

0.879

2019-08-19

pydata/im_cartopy.ipynb

cartopy

True

1.744

4

4

4

13

100%

3.735

2019-08-12

pydata/im_ete3.ipynb

ete3

True

4.660

11

11

11

14

100%

2.827

2019-08-19

pydata/im_lifelines.ipynb

lifelines

True

3.677

7

7

7

15

90%

1.270

2019-08-19

pydata/im_matplotlib.ipynb

matplotlib

True

2.180

11

10

10

16

100%

5.388

2019-08-19

pydata/im_missingno.ipynb

missingno

True

6.302

13

13

13

17

100%

10.839

2019-08-19

pydata/im_mpl_scatter_density.ipynb

mpl-scatter-density

True

11.753

6

6

6

18

100%

0.914

2019-08-19

pydata/im_networkx.ipynb

networkx

True

1.851

4

4

4

19

100%

5.907

2019-08-19

pydata/im_plotnine.ipynb

plotnine

True

6.820

9

9

9

20

100%

0.915

2019-08-19

pydata/im_reportlab.ipynb

reportlab

True

1.781

4

4

4

21

100%

1.294

2019-08-19

pydata/im_scikit_plot.ipynb

scikit-plot

True

2.185

5

5

5

22

100%

4.996

2019-08-19

pydata/im_seaborn.ipynb

seaborn

True

5.840

5

5

5

23

100%

1.380

2019-08-19

pydata/js_bokeh.ipynb

bokeh

True

2.516

7

7

7

24

50%

0.100

2019-08-19

pydata/js_lightning_python.ipynb

lightning-python

True

1.014

4

2

2

25

0%

nan

pydata/js_mpld3.ipynb

mpld3

nan

17

0

26

100%

6.688

2019-08-19

pydata/js_plotly.ipynb

plotly

True

7.684

9

9

9

27

100%

4.019

2019-08-19

pydata/js_pydy_mass_spring_damper.ipynb

pydy

True

4.932

32

32

32

28

85%

0.876

2019-08-19

pydata/js_pyecharts.ipynb

pyecharts

True

1.739

7

6

6

29

100%

1.256

2019-08-19

pydata/js_pygal.ipynb

pygal

True

2.198

7

7

7

30

100%

2.278

2019-08-19

pydata/js_pythreejs.ipynb

pythreejs

True

3.291

5

5

5

31

100%

0.830

2019-08-19

pydata/js_vega.ipynb

vega

True

1.741

6

6

6

32

100%

0.529

2019-08-19

pydata/jsonly_treant.ipynb

treant-js

True

1.704

7

7

7

33

100%

2.386

2019-08-19

pydata/pyjs_bqplot.ipynb

bqplot

True

3.841

19

19

19

34

100%

2.120

2019-08-19

pydata/pyjs_brython.ipynb

brython, brythonmagic

True

2.977

18

18

18

35

100%

1.025

2019-08-19

pydata/pyjsc_vispy.ipynb

vispy

True

1.875

8

8

8

36

100%

52.536

2019-08-12

pyparis/onnx_deploy_pyparis.ipynb

Deploy machine learned models with ONNX

True

53.485

38

38

38

37

100%

40.451

2019-08-19

sklearn/onnx_sklearn_consortium.ipynb

ONNX, scikit-learn, persistence, deployment

True

41.344

47

47

47

38

100%

2.709

2019-08-19

sklearn/onnx_sklearn_custom.ipynb

Convert custom transformer into ONNX

True

3.619

17

17

17

_images/nbcov.png