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median_absolute_error — scikit-learn 1.8....
1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>>...>>> y_pred = [[ 0 , 2 ], [ - 1 , 2 ], [ 8 , - 5 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.median_absolute_error.html -
make_checkerboard — scikit-learn 1.8.0 do...
shape[1]) The indicators for cluster membership...for biclustering. References [ 1 ] Kluger, Y., Basri, R., Chang,...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_checkerboard.html -
SVR — scikit-learn 1.8.0 documentation
Added in version 1.1. n_support_ ndarray of shape (1,), dtype=int32..., tol = 0.001 , C = 1.0 , epsilon = 0.1 , shrinking = True ,...scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html -
k_means — scikit-learn 1.8.0 documentation
[ 1., 2.]]) >>> label array([1, 1, 1, 0, 0, 0],...X = np . array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2...scikit-learn.org/stable/modules/generated/sklearn.cluster.k_means.html -
GaussianNB — scikit-learn 1.8.0 documenta...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> Y = np . array ([ 1 , 1 , 1...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html -
MultiOutputClassifier — scikit-learn 1.8....
( 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 -
partial_dependence — scikit-learn 1.8.0 d...
[ 1 , 0 , 0 ]] >>> y = [ 0 , 1 ] >>>...interacting features (e.g. [(0, 1)] ) for which the partial dependency...scikit-learn.org/stable/modules/generated/sklearn.inspection.partial_dependence.html -
nan_euclidean_distances — scikit-learn 1....
6] and [1, na, 4, 5] is: \[\sqrt{\frac{4}{2}((3-1)^2 + (6-5)^2)}\]...) >>> X = [[ 0 , 1 ], [ 1 , nan ]] >>> nan...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.nan_euclidean_distances.html -
MultiTaskElasticNet — scikit-learn 1.8.0 ...
1 ) >>> clf . fit ([[ 0 , 0 ], [ 1 , 1 ], [ 2...], [ 1 , 1 ], [ 2 , 2 ]]) MultiTaskElasticNet(alpha=0.1) >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNet.html -
IsolationForest — scikit-learn 1.8.0 docu...
1 ], [ 0 ], [ 90 ]]) array([ 1, 1, -1]) For an example...from 0.1 to 'auto' . max_features int or float, default=1.0 The...scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html