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make_sparse_spd_matrix — scikit-learn 1.8...
array([[1., 0., 0., 0.], [0., 1., 0., 0.], [0., 0., 1., 0.], [0.,...elements all 1. smallest_coef float, default=0.1 The value of...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_spd_matrix.html -
OPTICS — scikit-learn 1.8.0 documentation
1, 1, 1]) For a more detailed example...min_samples int > 1 or float between 0 and 1, default=5 The number...scikit-learn.org/stable/modules/generated/sklearn.cluster.OPTICS.html -
PowerTransformer — scikit-learn 1.8.0 doc...
data )) [[-1.316 -0.707] [ 0.209 -0.707] [ 1.106 1.414]] fit (...= ( X * lambda_ + 1 ) ** ( 1 / lambda_ ) - 1 elif X < 0 and...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PowerTransformer.html -
d2_tweedie_score — scikit-learn 1.8.0 doc...
1 , 2.5 , 7 ] >>> y_pred = [ 1 , 1 , 5 , 3.5...explained. Best possible score is 1.0 and it can be negative (because...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_tweedie_score.html -
OrdinalEncoder — scikit-learn 1.8.0 docum...
inverse_transform ([[ 1 , 0 ], [ 0 , 1 ]]) array([['Male', 1], ['Female',... =- 1 ) . fit_transform ( X ) array([[ 1., 0.], [ 0., 1.], [...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OrdinalEncoder.html -
laplacian_kernel — scikit-learn 1.8.0 doc...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0...default=None If None, defaults to 1.0 / n_features. Otherwise it should...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.laplacian_kernel.html -
rbf_kernel — scikit-learn 1.8.0 documenta...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0...default=None If None, defaults to 1.0 / n_features. Returns : kernel...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.rbf_kernel.html -
paired_euclidean_distances — scikit-learn...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0...paired_euclidean_distances ( X , Y ) array([1., 1.]) On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_euclidean_distances.html -
DecisionTreeClassifier — scikit-learn 1.8...
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...instead of [{1:1}, {2:5}, {3:1}, {4:1}]. The “balanced” mode uses...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html -
average_precision_score — scikit-learn 1....
1 , 1 ]) >>> y_scores = np . array ([ 0.1 , 0.4..., 0.1 ], ... [ 0.4 , 0.3 , 0.3 ], ... [ 0.1 , 0.8 , 0.1 ], ......scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html