Notebooks Coverage

Report on last executions.

77% 2020-04-06

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%	0.092	2020-04-06	centrale/centrale_201606.ipynb	Big Data, Azure, Machine Learning, Python	True	2.106	2	2	2
2	100%	0.116	2020-04-06	centrale/centrale_201606_sysrec.ipynb	Recommandations sur le web	True	0.985	1	1	1
3	100%	1.177	2020-04-06	ensae/2017_1a_ensae_nocture.ipynb	ENSAE 1A : nocturne	True	3.338	10	10	10
4	100%	0.383	2020-04-06	ensae/kaggle_review_2016.ipynb	Revue de compétitions Kaggle (2016)	True	2.974	2	2	2
5	100%	0.395	2020-04-06	ensae/kaggle_review_2017.ipynb	Revue de compétitions Kaggle (2017)	True	2.353	2	2	2
6	0%	nan		ensae_api/sklearn_api.ipynb	API de sciki-learn et modèles customisés		nan	78	0
7	100%	3.915	2020-04-06	meshs/automation_finance_trading.ipynb	Les algorithmes, outils de décision automatique.	True	5.891	10	10	10
8	100%	233.691	2020-04-06	msexp/onnx_deploy.ipynb	Deploy machine learned models with ONNX	True	234.661	77	77	77
9	100%	7.288	2020-04-06	pydata/10_plotting_libraries.ipynb	10 plotting libraries	True	8.270	16	16	16
10	100%	19.243	2020-03-09	pydata/big_datashader.ipynb	datashader	True	20.418	28	28	28
11	80%	0.979	2020-04-06	pydata/gui_geoplotlib.ipynb	geoplotlib	True	2.382	5	4	4
12	100%	1.357	2020-04-06	pydata/im_biopython.ipynb	biopython	True	2.216	6	6	6
13	100%	0.813	2020-04-06	pydata/im_cartopy.ipynb	cartopy	True	1.701	4	4	4
14	100%	4.604	2020-04-06	pydata/im_ete3.ipynb	ete3	True	6.669	11	11	11
15	100%	2.543	2020-04-06	pydata/im_lifelines.ipynb	lifelines	True	3.412	7	7	7
16	90%	1.296	2020-04-06	pydata/im_matplotlib.ipynb	matplotlib	True	2.196	11	10	10
17	100%	4.175	2020-04-06	pydata/im_missingno.ipynb	missingno	True	5.018	13	13	13
18	100%	22.944	2020-04-06	pydata/im_mpl_scatter_density.ipynb	mpl-scatter-density	True	23.815	6	6	6
19	100%	0.846	2020-04-06	pydata/im_networkx.ipynb	networkx	True	2.979	4	4	4
20	100%	7.118	2020-04-06	pydata/im_plotnine.ipynb	plotnine	True	7.984	9	9	9
21	100%	0.700	2020-04-06	pydata/im_reportlab.ipynb	reportlab	True	1.608	4	4	4
22	100%	1.185	2020-04-06	pydata/im_scikit_plot.ipynb	scikit-plot	True	2.018	5	5	5
23	100%	4.734	2020-04-06	pydata/im_seaborn.ipynb	seaborn	True	5.605	5	5	5
24	100%	1.412	2020-04-06	pydata/js_bokeh.ipynb	bokeh	True	3.780	7	7	7
25	50%	0.115	2020-04-06	pydata/js_lightning_python.ipynb	lightning-python	True	1.133	4	2	2
26	0%	nan		pydata/js_mpld3.ipynb	mpld3		nan	17	0
27	100%	9.618	2020-04-06	pydata/js_plotly.ipynb	plotly	True	10.569	9	9	9
28	100%	4.158	2020-04-06	pydata/js_pydy_mass_spring_damper.ipynb	pydy	True	6.401	32	32	32
29	85%	1.073	2020-04-06	pydata/js_pyecharts.ipynb	pyecharts	True	1.912	7	6	6
30	100%	1.222	2020-04-06	pydata/js_pygal.ipynb	pygal	True	2.159	7	7	7
31	100%	1.505	2020-04-06	pydata/js_pythreejs.ipynb	pythreejs	True	2.511	5	5	5
32	100%	0.728	2020-04-06	pydata/js_vega.ipynb	vega	True	1.609	6	6	6
33	100%	0.596	2020-04-06	pydata/jsonly_treant.ipynb	treant-js	True	1.639	7	7	7
34	100%	3.150	2020-04-06	pydata/pyjs_bqplot.ipynb	bqplot	True	4.580	19	19	19
35	100%	1.573	2020-04-06	pydata/pyjs_brython.ipynb	brython, brythonmagic	True	3.686	18	18	18
36	100%	1.050	2020-04-06	pydata/pyjsc_vispy.ipynb	vispy	True	2.463	8	8	8
37	100%	147.837	2020-04-06	pyparis/onnx_deploy_pyparis.ipynb	Deploy machine learned models with ONNX	True	151.644	38	38	38
38	100%	55.588	2020-04-06	sklearn/onnx_sklearn_consortium.ipynb	ONNX, scikit-learn, persistence, deployment	True	57.622	47	47	47
39	100%	2.862	2020-04-06	sklearn/onnx_sklearn_custom.ipynb	Convert custom transformer into ONNX	True	3.756	17	17	17