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check_X_y — scikit-learn 1.8.0 documentation
ensure_min_samples = 1 , ensure_min_features = 1 , y_numeric = False...= [[ 1 , 2 ], [ 3 , 4 ], [ 5 , 6 ]] >>> y = [ 1 , 2 ,...scikit-learn.org/stable/modules/generated/sklearn.utils.check_X_y.html -
Demo of DBSCAN clustering algorithm — sci...
centers = [[ 1 , 1 ], [ - 1 , - 1 ], [ 1 , - 1 ]] X , labels_true...len ( set ( labels )) - ( 1 if - 1 in labels else 0 ) n_noise_...scikit-learn.org/stable/auto_examples/cluster/plot_dbscan.html -
non_negative_factorization — scikit-learn...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...version 1.4: Added 'auto' value. Changed in version 1.6: Default...scikit-learn.org/stable/modules/generated/sklearn.decomposition.non_negative_factorization.html -
CategoricalNB — scikit-learn 1.8.0 docume...
Added in version 1.2. Changed in version 1.4: The default value... CategoricalNB ( * , alpha = 1.0 , force_alpha = True , fit_prior...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.CategoricalNB.html -
DistanceMetric — scikit-learn 1.8.0 docum...
'euclidean' ) >>> X = [[ 1 , 2 ], [ 3 , 4 ], [ 5 , 6 ]] >>>...10.63...] [5.65..., 8.48...] [1.41..., 4.24...]]) Available Metrics...scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html -
permutation_importance — scikit-learn 1.8...
>>> X = [[ 1 , 9 , 9 ],[ 1 , 9 , 9 ],[ 1 , 9 , 9 ], ... [..., 9 ]] >>> y = [ 1 , 1 , 1 , 0 , 0 , 0 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.inspection.permutation_importance.html -
MultiTaskElasticNetCV — scikit-learn 1.8....
[ 1 , 1 ], [ 2 , 2 ]], ... [[ 0 , 0 ], [ 1 , 1 ], [ 2 ,...< l1_ratio <= 1. For l1_ratio = 1 the penalty is an L1/L2...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNetCV.html -
Time-related feature engineering — scikit...
spring 0 1 0 False 6 False clear 9.84 14.395 0.81 0.0000 1 spring...spring 0 1 1 False 6 False clear 9.02 13.635 0.80 0.0000 2 spring...scikit-learn.org/stable/auto_examples/applications/plot_cyclical_feature_engineering.html -
FixedThresholdClassifier — scikit-learn 1...
y_true is in {-1, 1} or {0, 1} , pos_label is set to 1, otherwise...scikit-learn 1.5 Release Highlights for scikit-learn 1.5 Release...scikit-learn.org/stable/modules/generated/sklearn.model_selection.FixedThresholdClassifier.html -
Two-class AdaBoost — scikit-learn 1.8.0 d...
random_state = 1 ) X2 , y2 = make_gaussian_quantiles...es ( mean = ( 3 , 3 ), cov = 1.5 , n_samples = 300 , n_features...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html