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kernel_metrics — scikit-learn 1.8.0 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version kernel_metrics # sklearn.metrics.pairwise. kernel_met...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.kernel_metrics.html -
max_error — scikit-learn 1.8.0 documentation
point value (the best value is 0.0). Examples >>> from sklearn.metrics...[ 3 , 2 , 7 , 1 ] >>> y_pred = [ 4 , 2 , 7 , 1 ] >>> max_error...scikit-learn.org/stable/modules/generated/sklearn.metrics.max_error.html -
cross_val_score — scikit-learn 1.8.0 documentation
cv = 3 )) [0.3315057 0.08022103 0.03531816] Gallery examples...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html -
RocCurveDisplay — scikit-learn 1.8.0 documentation
array ([ 0 , 0 , 1 , 1 ]) >>> y_score = np . array ([ 0.1 , 0.4 ,...y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...scikit-learn.org/stable/modules/generated/sklearn.metrics.RocCurveDisplay.html -
MultiOutputClassifier — scikit-learn 1.8.0 docu...
( X [ - 2 :]) array([[1, 1, 1], [1, 0, 1]]) fit ( X , Y , sample_weight...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputClassifier.html -
linear_kernel — scikit-learn 1.8.0 documentation
X = [[ 0 , 0 , 0 ], [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1...1 , 1 , 0 ]] >>> linear_kernel ( X , Y ) array([[0., 0.], [1.,...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.linear_kernel.html -
nan_euclidean_distances — scikit-learn 1.8.0 do...
rows of X array([[0. , 1.41421356], [1.41421356, 0. ]]) >>> # get...nan_euclidean_distances ( X , [[ 0 , 0 ]]) array([[1. ], [1.41421356]]) On this...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.nan_euclidean_distances.html -
mutual_info_score — scikit-learn 1.8.0 document...
= [ 0 , 1 , 1 , 0 , 1 , 0 ] >>> labels_pred = [ 0 , 1 , 0 , 0...as: \[MI(U,V)=\sum_{i=1}^{|U|} \sum_{j=1}^{|V|} \frac{|U_i\cap...scikit-learn.org/stable/modules/generated/sklearn.metrics.mutual_info_score.html -
chi2_kernel — scikit-learn 1.8.0 documentation
X = [[ 0 , 0 , 0 ], [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1...1 , 1 , 0 ]] >>> chi2_kernel ( X , Y ) array([[0.368, 0.135],...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.chi2_kernel.html -
StratifiedKFold — scikit-learn 1.8.0 documentation
array ([ 0 , 0 , 1 , 1 ]) >>> skf = StratifiedKFold...) Fold 0: Train: index=[1 3] Test: index=[0 2] Fold 1: Train:...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html