oooo26/abess

master

abess

Grade	Name	Complexity	Churn	Issues
F	docs\Tutorial\5-scikit-learn-connection\plot_5_dowhy.py		2	84
F	docs\Tutorial\5-scikit-learn-connection\plot_2_geomstats.py		3	71
F	docs\Tutorial\1-glm\plot_2_LogisticRegression.py		5	51
F	docs\Tutorial\5-scikit-learn-connection\plot_3_double_machine_learning.py		3	59
F	docs\Tutorial\1-glm\plot_1_LinearRegression.py		9	53
D	docs\Tutorial\5-scikit-learn-connection\plot_4_pyts.py	14	2	49
D	docs\Tutorial\4-computation-tips\plot_specific_models.py		5	42
D	docs\Tutorial\1-glm\plot_a2_abess_algorithm_details.py		3	40
D	docs\Tutorial\2-pca\plot_6_PCA.py		4	42
C	docs\Tutorial\5-scikit-learn-connection\plot_1_scikit_learn.py		10	28
C	docs\Tutorial\4-computation-tips\plot_large_dimension.py		8	37
C	docs\Tutorial\3-advanced-features\plot_best_nuisance.py		7	27
C	docs\Tutorial\5-scikit-learn-connection\plot_6_imbalanced_learn.py		1	35
C	docs\Tutorial\2-pca\plot_7_RPCA.py	4	4	29
C	docs\Tutorial\1-glm\plot_4_CoxRegression.py		9	28
B	docs\Tutorial\4-computation-tips\plot_large_sample.py		8	17
B	docs\Tutorial\3-advanced-features\plot_best_regularized.py		7	16
B	docs\Tutorial\3-advanced-features\plot_best_group.py		10	20
B	docs\Tutorial\1-glm\plot_5_PossionGammaRegression.py		5	24
B	docs\Tutorial\1-glm\plot_3_MultiTaskLearning.py		6	16