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RepeatedStratifiedKFold — scikit-learn 1.7.1 do...
np . array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...enumerate ( rskf . split ( X , y )): ... print ( f "Fold { i } :" ) ......scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html -
compute_sample_weight — scikit-learn 1.7.1 docu...
be [{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...class_weight = "balanced" , y = y ) array([0.75, 0.75, 0.75, 0.75, 1.5 ,...scikit-learn.org/stable/modules/generated/sklearn.utils.class_weight.compute_sample_weight.html -
distance_metrics — scikit-learn 1.7.1 documenta...
es ‘cosine’ metrics.pairwise.cosine_distances ‘euclidean’ me...es ‘l2’ metrics.pairwise.euclidean_distances ‘manhattan’ met...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.distance_metrics.html -
sklearn.base — scikit-learn 1.7.1 documentation
to top Ctrl + K GitHub Choose version sklearn.base # Base classes...given estimator is (probably) a classifier. is_clusterer Return...scikit-learn.org/stable/api/sklearn.base.html -
Probability Calibration for 3-class classificat...
plt . plot ([ 1.0 ], [ 0.0 ], "ro" , ms = 20 , label = "Class...figsize = ( 10 , 10 )) colors = [ "r" , "g" , "b" ] clf_probs = clf...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_multiclass.html -
Multiclass Receiver Operating Characteristic (R...
label_binarizer . transform ([ "virginica" ]) array([[0, 0, 1]]) ROC curve...n_features )], axis = 1 ) ( X_train , X_test , y_train , y_test , ) =...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html -
Scalable learning with polynomial kernel approx...
= 4 ), LinearSVC (), ) start = time . time () pipeline . fit..."poly" , degree = 4 , coef0 = 0 , gamma = 1.0 ) start = time . time...scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.html -
Simple 1D Kernel Density Estimation — scikit-le...
. random . normal ( 0 , 1 , int ( 0.3 * N )), np . random . normal...True ) ax [ 0 , 0 ] . text ( - 3.5 , 0.31 , "Histogram" ) # histogram...scikit-learn.org/stable/auto_examples/neighbors/plot_kde_1d.html -
Using KBinsDiscretizer to discretize continuous...
[:, 0 ], y , "o" , c = "k" ) ax1 . legend ( loc = "best" ) ax1...ax2 . plot ( X [:, 0 ], y , "o" , c = "k" ) ax2 . vlines ( enc ....scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization.html -
Orthogonal Matching Pursuit — scikit-learn 1.7....
subplots_adjust ( 0.06 , 0.04 , 0.94 , 0.90 , 0.20 , 0.38 ) plt . suptitle...subplot ( 4 , 1 , 3 ) plt . xlim ( 0 , 512 ) plt . title ( "Recovered...scikit-learn.org/stable/auto_examples/linear_model/plot_omp.html