.. _l-notebooks-coverage: Notebooks Coverage ================== Report on last executions. 95% 2023-04-28 .. image:: nbcov-2023-04-28.png .. list-table:: :widths: auto :header-rows: 1 * - index - coverage - exe time - last execution - name - title - success - time - nb cells - nb runs - nb valid * - **0** - 100% - 22.998 - 2023-04-28 - :ref:`1a/code_liste_tuple.ipynb ` - :ref:`codelistetuplerst` - True - 27.202 - 4 - 4 - 4 * - **1** - 100% - 9.752 - 2023-04-28 - :ref:`1a/code_multinomial.ipynb ` - :ref:`codemultinomialrst` - True - 13.843 - 12 - 12 - 12 * - **2** - 100% - 12.371 - 2023-04-28 - :ref:`1a/coloriage_carre.ipynb ` - :ref:`coloriagecarrerst` - True - 16.507 - 23 - 23 - 23 * - **3** - 100% - 0.606 - 2023-04-28 - :ref:`1a/exercice_echelle.ipynb ` - :ref:`exerciceechellerst` - True - 4.678 - 6 - 6 - 6 * - **4** - 100% - 1.888 - 2023-04-28 - :ref:`1a/exercice_morse.ipynb ` - :ref:`exercicemorserst` - True - 6.030 - 16 - 16 - 16 * - **5** - 100% - 5.175 - 2023-04-28 - :ref:`1a/exercice_plus_grande_somme.ipynb ` - :ref:`exerciceplusgrandesommerst` - True - 9.286 - 15 - 15 - 15 * - **6** - 100% - 0.337 - 2023-04-28 - :ref:`1a/exercice_xn.ipynb ` - :ref:`exercicexnrst` - True - 4.466 - 4 - 4 - 4 * - **7** - 100% - 0.810 - 2023-04-28 - :ref:`1a/histogramme_rapide.ipynb ` - :ref:`histogrammerapiderst` - True - 4.890 - 8 - 8 - 8 * - **8** - 100% - 72.472 - 2023-04-28 - :ref:`1a/nbheap.ipynb ` - :ref:`nbheaprst` - True - 76.589 - 15 - 15 - 15 * - **9** - 100% - 46.691 - 2023-04-28 - :ref:`1a/pivot_gauss.ipynb ` - :ref:`pivotgaussrst` - True - 50.770 - 10 - 10 - 10 * - **10** - 100% - 14.745 - 2023-04-28 - :ref:`1a/profiling_example.ipynb ` - :ref:`profilingexamplerst` - True - 18.834 - 11 - 11 - 11 * - **11** - 100% - 0.990 - 2023-04-28 - :ref:`1a/recherche_dichotomique.ipynb ` - :ref:`recherchedichotomiquerst` - True - 5.057 - 9 - 9 - 9 * - **12** - 100% - 5.274 - 2023-04-28 - :ref:`1a/structures_donnees_conversion.ipynb ` - :ref:`structuresdonneesconversionrst` - True - 9.472 - 29 - 29 - 29 * - **13** - 100% - 2.168 - 2023-04-28 - :ref:`1a/tableau_contingence.ipynb ` - :ref:`tableaucontingencerst` - True - 6.271 - 8 - 8 - 8 * - **14** - 100% - 84.972 - 2023-04-28 - :ref:`1a/tri_nlnd.ipynb ` - :ref:`trinlndrst` - True - 89.109 - 17 - 17 - 17 * - **15** - 100% - 361.351 - 2023-04-24 - :ref:`2016-2017/solution_2016_credit_clement.ipynb ` - :ref:`solution2016creditclementrst` - True - 365.484 - 28 - 28 - 28 * - **16** - 100% - 19.751 - 2023-04-24 - :ref:`2016/td2a_eco_competition_comparer_classifieurs.ipynb ` - :ref:`td2aecocompetitioncomparerclassifieursrst` - True - 23.905 - 16 - 16 - 16 * - **17** - 100% - 11.917 - 2023-04-24 - :ref:`2016/td2a_eco_competition_modeles_logistiques.ipynb ` - :ref:`td2aecocompetitionmodeleslogistiquesrst` - True - 16.052 - 26 - 26 - 26 * - **18** - 100% - 81.697 - 2023-04-24 - :ref:`2016/td2a_eco_competition_statsdesc.ipynb ` - :ref:`td2aecocompetitionstatsdescrst` - True - 85.803 - 22 - 22 - 22 * - **19** - 100% - 28.510 - 2023-04-28 - :ref:`2017-2018/dimensions_reduction.ipynb ` - :ref:`dimensionsreductionrst` - True - 32.650 - 20 - 20 - 20 * - **20** - 100% - 44.084 - 2023-04-24 - :ref:`2017/prepare_data_2017.ipynb ` - :ref:`preparedata2017rst` - True - 48.191 - 43 - 43 - 43 * - **21** - 89% - 3.220 - 2023-04-28 - :ref:`2018-2019/2018-09-18_rappels_python.ipynb <2018-09-18rappelspythonrst>` - :ref:`2018-09-18rappelspythonrst` - True - 7.677 - 28 - 25 - 25 * - **22** - 100% - 9.404 - 2023-04-28 - :ref:`2018-2019/2018-09-18_rappels_python_pandas_matplotlib.ipynb <2018-09-18rappelspythonpandasmatplotlibrst>` - :ref:`2018-09-18rappelspythonpandasmatplotlibrst` - True - 13.626 - 29 - 29 - 29 * - **23** - 100% - 8.123 - 2023-04-28 - :ref:`2018-2019/2018-09-18_sklearn_api.ipynb <2018-09-18sklearnapirst>` - :ref:`2018-09-18sklearnapirst` - True - 12.359 - 21 - 21 - 21 * - **24** - 100% - 1.079 - 2023-04-28 - :ref:`2018-2019/2018-09-25_distance_entre_mots.ipynb <2018-09-25distanceentremotsrst>` - :ref:`2018-09-25distanceentremotsrst` - True - 5.299 - 11 - 11 - 11 * - **25** - 100% - 14.444 - 2023-04-28 - :ref:`2018-2019/2018-10-02_scraping_recuperer_images.ipynb <2018-10-02scrapingrecupererimagesrst>` - :ref:`2018-10-02scrapingrecupererimagesrst` - True - 18.726 - 20 - 20 - 20 * - **26** - 100% - 226.565 - 2023-04-28 - :ref:`2018-2019/2018-10-09_ensemble_gradient_boosting.ipynb <2018-10-09ensemblegradientboostingrst>` - :ref:`2018-10-09ensemblegradientboostingrst` - True - 230.707 - 19 - 19 - 19 * - **27** - 0% - nan - - :ref:`2022-2023/example_spark.ipynb ` - :ref:`examplesparkrst` - - nan - 68 - 0 - * - **28** - 100% - 16.889 - 2023-04-28 - :ref:`2a/bayesian_with_python.ipynb ` - :ref:`bayesianwithpythonrst` - True - 21.413 - 19 - 19 - 19 * - **29** - 100% - 192.462 - 2023-04-24 - :ref:`2a/cffi_linear_regression.ipynb ` - :ref:`cffilinearregressionrst` - True - 196.723 - 92 - 92 - 92 * - **30** - 100% - 4.544 - 2023-04-28 - :ref:`2a/dataframe_matrix_speed.ipynb ` - :ref:`dataframematrixspeedrst` - True - 8.703 - 15 - 15 - 15 * - **31** - 100% - 8.048 - 2023-04-28 - :ref:`2a/git_notebook.ipynb ` - :ref:`gitnotebookrst` - True - 12.213 - 23 - 23 - 23 * - **32** - 100% - 1.738 - 2023-04-28 - :ref:`2a/jupyter_custom_magics.ipynb ` - :ref:`jupytercustommagicsrst` - True - 5.866 - 5 - 5 - 5 * - **33** - 100% - 25.726 - 2023-04-28 - :ref:`2a/ml_timeseries_base.ipynb ` - :ref:`mltimeseriesbaserst` - True - 29.928 - 28 - 28 - 28 * - **34** - 100% - 6.760 - 2023-04-28 - :ref:`2a/notebook_convert.ipynb ` - :ref:`notebookconvertrst` - True - 10.926 - 8 - 8 - 8 * - **35** - 100% - 118.470 - 2023-04-24 - :ref:`2a/seance_5_dask.ipynb ` - :ref:`seance5daskrst` - True - 123.075 - 16 - 16 - 16 * - **36** - 100% - 26.184 - 2023-04-24 - :ref:`2a/seance_5_intro_et_json.ipynb ` - :ref:`seance5introetjsonrst` - True - 30.342 - 20 - 20 - 20 * - **37** - 100% - 280.375 - 2023-04-24 - :ref:`2a/seance_5_prog_fonctionnelle.ipynb ` - :ref:`seance5progfonctionnellerst` - True - 284.569 - 44 - 44 - 44 * - **38** - 100% - 64.137 - 2023-04-28 - :ref:`2a/timeseries_ssa.ipynb ` - :ref:`timeseriesssarst` - True - 68.331 - 27 - 27 - 27 * - **39** - 100% - 2195.008 - 2023-04-24 - :ref:`data/data_irep.ipynb ` - :ref:`dataireprst` - True - 2201.026 - 21 - 21 - 21 * - **40** - 100% - 23.566 - 2023-04-24 - :ref:`data/deal_flow_espace_vert.ipynb ` - :ref:`dealflowespacevertrst` - True - 27.572 - 14 - 14 - 14 * - **41** - 100% - 1.306 - 2023-04-28 - :ref:`exams/interro_rapide_20_minutes_2014_09.ipynb ` - :ref:`interrorapide20minutes201409rst` - True - 5.453 - 12 - 12 - 12 * - **42** - 100% - 3.386 - 2023-04-28 - :ref:`exams/interro_rapide_20_minutes_2014_10.ipynb ` - :ref:`interrorapide20minutes201410rst` - True - 7.532 - 17 - 17 - 17 * - **43** - 82% - 3.438 - 2023-04-28 - :ref:`exams/interro_rapide_20_minutes_2014_11.ipynb ` - :ref:`interrorapide20minutes201411rst` - True - 7.696 - 35 - 29 - 29 * - **44** - 100% - 1.472 - 2023-04-28 - :ref:`exams/interro_rapide_20_minutes_2014_12.ipynb ` - :ref:`interrorapide20minutes201412rst` - True - 5.586 - 15 - 15 - 15 * - **45** - 100% - 0.816 - 2023-04-28 - :ref:`exams/interro_rapide_20_minutes_2015_09.ipynb ` - :ref:`interrorapide20minutes201509rst` - True - 4.928 - 12 - 12 - 12 * - **46** - 100% - 1.333 - 2023-04-28 - :ref:`exams/interro_rapide_20_minutes_2015_11.ipynb ` - :ref:`interrorapide20minutes201511rst` - True - 5.497 - 16 - 16 - 16 * - **47** - 100% - 27.062 - 2023-04-28 - :ref:`exams/td_note_2013_bout_de_code_coloriage.ipynb ` - :ref:`tdnote2013boutdecodecoloriagerst` - True - 31.153 - 6 - 6 - 6 * - **48** - 100% - 59.744 - 2023-04-28 - :ref:`exams/td_note_2013_coloriage_correction.ipynb ` - :ref:`tdnote2013coloriagecorrectionrst` - True - 63.934 - 14 - 14 - 14 * - **49** - 100% - 4.513 - 2023-04-28 - :ref:`exams/td_note_2015.ipynb ` - :ref:`tdnote2015rst` - True - 8.733 - 36 - 36 - 36 * - **50** - 100% - 0.216 - 2023-04-28 - :ref:`exams/td_note_2015_rattrapage_enonce.ipynb ` - :ref:`tdnote2015rattrapageenoncerst` - True - 4.390 - 6 - 6 - 6 * - **51** - 100% - 10.965 - 2023-04-28 - :ref:`exams/td_note_2016.ipynb ` - :ref:`tdnote2016rst` - True - 15.261 - 26 - 26 - 26 * - **52** - 100% - 3.798 - 2023-04-28 - :ref:`exams/td_note_2017.ipynb ` - :ref:`tdnote2017rst` - True - 8.085 - 23 - 23 - 23 * - **53** - 100% - 2.861 - 2023-04-28 - :ref:`exams/td_note_2017_2.ipynb ` - :ref:`tdnote20172rst` - True - 7.093 - 21 - 21 - 21 * - **54** - 100% - 20.921 - 2023-04-28 - :ref:`exams/td_note_2018_1.ipynb ` - :ref:`tdnote20181rst` - True - 25.170 - 25 - 25 - 25 * - **55** - 100% - 18.349 - 2023-04-28 - :ref:`exams/td_note_2018_2.ipynb ` - :ref:`tdnote20182rst` - True - 22.737 - 21 - 21 - 21 * - **56** - 100% - 81.205 - 2023-04-28 - :ref:`exams/td_note_2019_1.ipynb ` - :ref:`tdnote20191rst` - True - 85.340 - 17 - 17 - 17 * - **57** - 100% - 40.708 - 2023-04-28 - :ref:`exams/td_note_2019_2.ipynb ` - :ref:`tdnote20192rst` - True - 44.859 - 18 - 18 - 18 * - **58** - 100% - 18.894 - 2023-04-28 - :ref:`exams/td_note_2020_1.ipynb ` - :ref:`tdnote20201rst` - True - 23.116 - 29 - 29 - 29 * - **59** - 100% - 17.336 - 2023-04-28 - :ref:`exams/td_note_2020_2.ipynb ` - :ref:`tdnote20202rst` - True - 21.540 - 28 - 28 - 28 * - **60** - 100% - 27.205 - 2023-04-28 - :ref:`exams/td_note_2021.ipynb ` - :ref:`tdnote2021rst` - True - 31.362 - 24 - 24 - 24 * - **61** - 100% - 39.366 - 2023-04-28 - :ref:`exams/td_note_2022.ipynb ` - :ref:`tdnote2022rst` - True - 43.752 - 31 - 31 - 31 * - **62** - 100% - 1.143 - 2023-04-28 - :ref:`exams/td_note_2022_rattrapage.ipynb ` - :ref:`tdnote2022rattrapagerst` - True - 5.273 - 9 - 9 - 9 * - **63** - 100% - 9.732 - 2023-04-28 - :ref:`exams/td_note_2022_rattrapage2.ipynb ` - :ref:`tdnote2022rattrapage2rst` - True - 14.006 - 10 - 10 - 10 * - **64** - 100% - 53.322 - 2023-04-28 - :ref:`exams/td_note_2023.ipynb ` - :ref:`tdnote2023rst` - True - 57.563 - 17 - 17 - 17 * - **65** - 100% - 52.237 - 2023-04-28 - :ref:`expose/BJKST.ipynb ` - :ref:`BJKSTrst` - True - 56.457 - 39 - 39 - 39 * - **66** - 100% - 21.336 - 2023-04-28 - :ref:`expose/expose_TSP.ipynb ` - :ref:`exposeTSPrst` - True - 25.448 - 11 - 11 - 11 * - **67** - 100% - 7.024 - 2023-04-28 - :ref:`expose/expose_einstein_riddle.ipynb ` - :ref:`exposeeinsteinriddlerst` - True - 11.185 - 6 - 6 - 6 * - **68** - 100% - 7.000 - 2023-04-28 - :ref:`expose/expose_graphe_et_map_reduce.ipynb ` - :ref:`exposegrapheetmapreducerst` - True - 11.407 - 11 - 11 - 11 * - **69** - 100% - 1.148 - 2023-04-28 - :ref:`expose/expose_rwr_recommandation.ipynb ` - :ref:`exposerwrrecommandationrst` - True - 5.378 - 4 - 4 - 4 * - **70** - 100% - 3.007 - 2023-04-24 - :ref:`expose/expose_vigenere.ipynb ` - :ref:`exposevigenererst` - True - 7.055 - 9 - 9 - 9 * - **71** - 100% - 34.735 - 2023-04-28 - :ref:`expose/hash_distribution.ipynb ` - :ref:`hashdistributionrst` - True - 38.891 - 14 - 14 - 14 * - **72** - 100% - 65.558 - 2023-04-28 - :ref:`expose/ml_features_model.ipynb ` - :ref:`mlfeaturesmodelrst` - True - 70.146 - 15 - 15 - 15 * - **73** - 0% - nan - - :ref:`expose/ml_huge_datasets.ipynb ` - :ref:`mlhugedatasetsrst` - - nan - 30 - 0 - * - **74** - 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:ref:`03supervisedclassificationrst` - True - 40.874 - 12 - 12 - 12 * - **80** - 100% - 18.586 - 2023-04-28 - :ref:`sklearn_ensae_course/04_supervised_regression.ipynb <04supervisedregressionrst>` - :ref:`04supervisedregressionrst` - True - 22.747 - 12 - 12 - 12 * - **81** - 100% - 25.285 - 2023-04-28 - :ref:`sklearn_ensae_course/05_measuring_prediction_performance.ipynb <05measuringpredictionperformancerst>` - :ref:`05measuringpredictionperformancerst` - True - 29.733 - 23 - 23 - 23 * - **82** - 100% - 26.361 - 2023-04-28 - :ref:`sklearn_ensae_course/06_unsupervised_dimreduction.ipynb <06unsuperviseddimreductionrst>` - :ref:`06unsuperviseddimreductionrst` - True - 30.485 - 18 - 18 - 18 * - **83** - 100% - 29.202 - 2023-04-28 - :ref:`sklearn_ensae_course/07_application_to_face_recognition.ipynb <07applicationtofacerecognitionrst>` - :ref:`07applicationtofacerecognitionrst` - True - 33.370 - 19 - 19 - 19 * - **84** - 100% - 18.045 - 2023-04-28 - :ref:`sklearn_ensae_course/08_validation_and_learning_curves.ipynb <08validationandlearningcurvesrst>` - :ref:`08validationandlearningcurvesrst` - True - 22.179 - 15 - 15 - 15 * - **85** - 100% - 0.545 - 2023-04-28 - :ref:`td1a/integrale_rectangle.ipynb ` - :ref:`integralerectanglerst` - True - 4.695 - 6 - 6 - 6 * - **86** - 100% - 8.009 - 2023-04-28 - :ref:`td1a/integrale_rectangle_correction.ipynb ` - :ref:`integralerectanglecorrectionrst` - True - 12.163 - 30 - 30 - 30 * - **87** - 100% - 0.338 - 2023-04-28 - :ref:`td1a/j2048.ipynb ` - :ref:`j2048rst` - True - 4.414 - 3 - 3 - 3 * - **88** - 100% - 1.356 - 2023-04-28 - :ref:`td1a/j2048_correction.ipynb ` - :ref:`j2048correctionrst` - True - 5.496 - 11 - 11 - 11 * - **89** - 100% - 62.801 - 2023-04-28 - :ref:`td1a/matrix_dictionary.ipynb ` - :ref:`matrixdictionaryrst` - True - 66.999 - 20 - 20 - 20 * - **90** - 100% - 0.330 - 2023-04-28 - :ref:`td1a/pp_exo_deviner_un_nombre.ipynb ` - :ref:`ppexodevinerunnombrerst` - True - 4.451 - 5 - 5 - 5 * - **91** - 100% - 0.715 - 2023-04-28 - :ref:`td1a/pp_exo_deviner_un_nombre_correction.ipynb ` - :ref:`ppexodevinerunnombrecorrectionrst` - True - 4.820 - 7 - 7 - 7 * - **92** - 75% - 1.265 - 2023-04-28 - :ref:`td1a/td1a_cenonce_session1.ipynb ` - :ref:`td1acenoncesession1rst` - True - 5.383 - 16 - 12 - 12 * - **93** - 100% - 3.309 - 2023-04-28 - :ref:`td1a/td1a_cenonce_session2.ipynb ` - :ref:`td1acenoncesession2rst` - True - 7.494 - 30 - 30 - 30 * - **94** - 100% - 1.900 - 2023-04-28 - :ref:`td1a/td1a_cenonce_session3.ipynb ` - :ref:`td1acenoncesession3rst` - True - 6.036 - 26 - 26 - 26 * - **95** - 100% - 4.477 - 2023-04-28 - :ref:`td1a/td1a_cenonce_session4.ipynb ` - :ref:`td1acenoncesession4rst` - True - 8.741 - 20 - 20 - 20 * - **96** - 100% - 1.571 - 2023-04-28 - :ref:`td1a/td1a_cenonce_session5.ipynb ` - :ref:`td1acenoncesession5rst` - True - 5.774 - 17 - 17 - 17 * - **97** - 100% - 1.066 - 2023-04-28 - :ref:`td1a/td1a_cenonce_session6.ipynb ` - :ref:`td1acenoncesession6rst` - True - 5.169 - 11 - 11 - 11 * - **98** - 100% - 1.287 - 2023-04-28 - :ref:`td1a/td1a_correction_session1.ipynb ` - 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15 * - **253** - 100% - 81.894 - 2023-04-28 - :ref:`td2a_ml/td2a_tree_selection_correction.ipynb ` - :ref:`td2atreeselectioncorrectionrst` - True - 86.042 - 19 - 19 - 19 * - **254** - 100% - 4.350 - 2023-04-28 - :ref:`td2a_ml/td2a_tree_selection_enonce.ipynb ` - :ref:`td2atreeselectionenoncerst` - True - 8.551 - 8 - 8 - 8 .. image:: nbcov.png