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make_classification — scikit-learn 1.8.0 docume...
n_informative = 2 , n_redundant = 2 , n_repeated = 0 , n_classes = 2 , n_clusters_per_class...n_clusters_per_class = 2 , weights = None , flip_y = 0.01 , class_sep...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_classification.html -
pair_confusion_matrix — scikit-learn 1.8.0 docu...
2 ], [ 0 , 0 , 1 , 1 ]) array([[8, 2], [0, 2]]... Note...confusion matrix \(C\) computes a 2 by 2 similarity matrix between two...scikit-learn.org/stable/modules/generated/sklearn.metrics.cluster.pair_confusion_matrix.html -
mean_absolute_percentage_error — scikit-learn 1...
2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>> m...1. , 0. , 2.4 , 7. ] >>> y_pred = [ 1.2 , 0.1 , 2.4 , 8. ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_percentage_error.html -
LeavePGroupsOut — scikit-learn 1.8.0 docu...
group=[2] Test: index=[0 2], group=[1 3] Fold 2: Train: index=[0],...([ 1 , 2 , 1 ]) >>> groups = np . array ([ 1 , 2 , 3 ])...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePGroupsOut.html -
LeaveOneGroupOut — scikit-learn 1.8.0 doc...
Fold 0: Train: index=[2 3], group=[2 2] Test: index=[0 1], group=[1...group=[1 1] Test: index=[2 3], group=[2 2] get_metadata_routing...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneGroupOut.html -
enet_path — scikit-learn 1.8.0 documentation
is: ( 1 / ( 2 * n_samples )) * || Y - XW || _Fro ^ 2 + alpha *...mono-output tasks it is: 1 / ( 2 * n_samples ) * || y - Xw ||^...scikit-learn.org/stable/modules/generated/sklearn.linear_model.enet_path.html -
Grundlegende Crawler-Konfiguration
(Cron-Format) # Täglich um 2 Uhr morgens ausführen 0 0 2 * * ? # Jede Stunde...Scheduler konfigurieren 0 0 2 * * ? # Täglich um 2 Uhr morgens Konfiguration...fess.codelibs.org/de/15.3/config/crawler-basic.html -
mean_absolute_error — scikit-learn 1.8.0 docume...
2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>> mean_absolute_error...]] >>> y_pred = [[ 0 , 2 ], [ - 1 , 2 ], [ 8 , - 5 ]] >>> mean_absolute_error...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_error.html -
cohen_kappa_score — scikit-learn 1.8.0 document...
prior over the class labels [2] . Read more in the User Guide...Psychological Measurement 20(1):37-46. [ 2 ] R. Artstein and M. Poesio (2008)....scikit-learn.org/stable/modules/generated/sklearn.metrics.cohen_kappa_score.html -
PLSRegression — scikit-learn 1.8.0 documentation
[ 2. , 2. , 2. ], [ 2. , 5. , 4. ]] >>> y =...= [[ 0.1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ], [ 11.9 , 12.3...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSRegression.html