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PLSSVD — scikit-learn 1.7.2 documentation
1 , - 0.2 ], ... [ 0.9 , 1.1 ], ... [ 6.2 , 5.9...np . array ([[ 0. , 0. , 1. ], ... [ 1. , 0. , 0. ], ... [ 2. ,...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSSVD.html -
Examples — scikit-learn 1.7.2 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...scikit-learn 1.7 Release Highlights for scikit-learn 1.7 Release...scikit-learn.org/stable/auto_examples/index.html -
oas — scikit-learn 1.7.2 documentation
References [ 1 ] ( 1 , 2 ) “Shrinkage algorithms...The regularised covariance is: (1 - shrinkage) * cov + shrinkage...scikit-learn.org/stable/modules/generated/oas-function.html -
Product — scikit-learn 1.7.2 documentation
y ) 1.0 >>> kernel 1.41**2 * RBF(length_scale=1) __call__...kernel takes two kernels \(k_1\) and \(k_2\) and combines them...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Product.html -
class_likelihood_ratios — scikit-learn 1.7.2 do...
1 , 0 , 1 , 0 ], [ 1 , 1 , 0 , 0 , 0 ]) (1.5, 0.75)...LR+ ranges from 1.0 to infinity. A LR+ of 1.0 indicates that...scikit-learn.org/stable/modules/generated/sklearn.metrics.class_likelihood_ratios.html -
GraphicalLasso — scikit-learn 1.7.2 documentation
1 ], ... [ 0.0 , 0.0 , 0.1 , 0.7 ]]) >>> np...the data X . Added in version 1.3. tol float, default=1e-4 The...scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLasso.html -
TruncatedSVD — scikit-learn 1.7.2 documentation
Added in version 1.1. power_iteration_normalizer {‘auto’,...more details. Added in version 1.1. random_state int, RandomState...scikit-learn.org/stable/modules/generated/sklearn.decomposition.TruncatedSVD.html -
fetch_covtype — scikit-learn 1.7.2 documentation
Added in version 1.5. delay float, default=1.0 Number of seconds...False , n_retries = 3 , delay = 1.0 ) [source] # Load the covertype...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_covtype.html -
ClassNamePrefixFeaturesOutMixin — scikit-learn ...
shape [ 1 ] ... return self >>> X = np . array ([[ 1 , 2 ], [...scikit-learn.org/stable/modules/generated/sklearn.base.ClassNamePrefixFeaturesOutMixin.html -
mean_pinball_loss — scikit-learn 1.7.2 document...
1 ) 0.03... >>> mean_pinball_loss ( y_true , [ 1 , 2 ,...scikit-learn 1.0 Release Highlights for scikit-learn 1.0 On this...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_pinball_loss.html