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2.4. Biclustering — scikit-learn 1.8.0 document...
array ([ 1 , 2 ]) >>> data [ rows , columns ] array([[ 1, 2], [21,...to find heavy subgraphs. 2.4.1.1. Mathematical formulation # An...scikit-learn.org/stable/modules/biclustering.html -
AdditiveChi2Sampler — scikit-learn 1.8.0 docume...
transformed into 2*sample_steps-1 features, where sample_steps is...values of sample_steps include 1, 2 and 3. Optimal choices for...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.AdditiveChi2Sampler.html -
SelfTrainingClassifier — scikit-learn 1.8.0 doc...
Added in version 1.6: estimator was added to replace...criterion='threshold' . Should be in [0, 1). When using the 'threshold' criterion,...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.SelfTrainingClassifier.html -
make_column_selector — scikit-learn 1.8.0 docum...
1. , 0. , 0. ], [-1.50755672, 1. , 0. , 0. ], [-0.30151134,...[-0.30151134, 0. , 1. , 0. ], [ 0.90453403, 0. , 0. , 1. ]]) __call__...scikit-learn.org/stable/modules/generated/sklearn.compose.make_column_selector.html -
fastica — scikit-learn 1.8.0 documentation
The implementation is based on [1] . Read more in the User Guide...performed. Changed in version 1.3: The default value of whiten...scikit-learn.org/stable/modules/generated/fastica-function.html -
StandardScaler — scikit-learn 1.8.0 documentation
( data )) [[-1. -1.] [-1. -1.] [ 1. 1.] [ 1. 1.]] >>> print (...0 , 0 ], [ 0 , 0 ], [ 1 , 1 ], [ 1 , 1 ]] >>> scaler = StandardScaler...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html -
lars_path_gram — scikit-learn 1.8.0 documentation
the case method=’lasso’ is: ( 1 / ( 2 * n_samples )) * || y -...equation (see discussion in [1] ). Read more in the User Guide...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path_gram.html -
Recursive feature elimination — scikit-learn 1....
n_features_to_select = 1 , step = 1 )), ] ) pipe . fit ( X ,...(( len ( digits . images ), - 1 )) y = digits . target pipe =...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_digits.html -
MultinomialNB — scikit-learn 1.8.0 documentation
Added in version 1.2. Changed in version 1.4: The default value... MultinomialNB ( * , alpha = 1.0 , force_alpha = True , fit_prior...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html -
ColumnTransformer — scikit-learn 1.8.0 document...
1. , 2. , 2. ], ... [ 1. , 1. , 0. , 1. ]]) >>> #...scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...scikit-learn.org/stable/modules/generated/sklearn.compose.ColumnTransformer.html