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johnson_lindenstrauss_min_dim — scikit-learn 1....
defined by: (1 - eps) ||u - v||^2 < ||p(u) - p(v)||^2 < (1 + eps) ||u...]0, 1[ and p is a projection by a random Gaussian N(0, 1) matrix...scikit-learn.org/stable/modules/generated/sklearn.random_projection.johnson_lindenstrauss_min_dim... -
KDTree — scikit-learn 1.8.0 documentation
query ( X [: 1 ], k = 3 ) >>> print ( ind ) #...indices of 3 closest neighbors [0 3 1] >>> print ( dist ) # distances...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KDTree.html -
hamming_loss — scikit-learn 1.8.0 documentation
1 ], [ 1 , 1 ]]), np . zeros (( 2 , 2...between 0 and 1, lower being better. References [ 1 ] Grigorios...scikit-learn.org/stable/modules/generated/sklearn.metrics.hamming_loss.html -
LogisticRegressionCV — scikit-learn 1.8.0 docum...
l1_ratio = 1 it is an L1 penalty. For 0 < l1_ratio < 1 , the penalty...since version 1.8: l1_ratios=None is deprecated in 1.8 and will...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html -
DecisionTreeClassifier — scikit-learn 1.8.0 doc...
[{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 -
NearestCentroid — scikit-learn 1.8.0 documentation
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
KBinsDiscretizer — scikit-learn 1.8.0 documenta...
[ 1., 1., 1., 0.], [ 2., 2., 2., 1.], [ 2., 2., 2.,...>>> X = [[ - 2 , 1 , - 4 , - 1 ], ... [ - 1 , 2 , - 3 , - 0.5...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html -
NuSVR — scikit-learn 1.8.0 documentation
Added in version 1.1. n_support_ ndarray of shape (1,), dtype=int32...(0, 1]. By default 0.5 will be taken. C float, default=1.0 Penalty...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html -
SpectralBiclustering — scikit-learn 1.8.0 docum...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . row_labels_ array([1, 1, 1, 0, 0, 0], dtype=int32) >>>...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralBiclustering.html -
column_or_1d — scikit-learn 1.8.0 documentation
>>> column_or_1d ([ 1 , 1 ]) array([1, 1]) On this page This...type for y . Added in version 1.2. input_name str, default=”y”...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.column_or_1d.html