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fetch_20newsgroups — scikit-learn 1.8.0 documen...
1, 1, 1, 0, 1, 1, 0, 0, 0]) Gallery examples...Added in version 1.5. delay float, default=1.0 Number of seconds...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups.html -
TransformerMixin — scikit-learn 1.8.0 documenta...
fit_transform ( X ) array([1, 1, 1]) fit_transform ( X , y = None...__init__ ( self , * , param = 1 ): ... self . param = param ......scikit-learn.org/stable/modules/generated/sklearn.base.TransformerMixin.html -
AdaBoostClassifier — scikit-learn 1.8.0 documen...
initialized with max_depth=1 . Added in version 1.2: base_estimator was...the range [1, inf) . learning_rate float, default=1.0 Weight applied...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html -
IncrementalPCA — scikit-learn 1.8.0 documentation
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], ... [ 1 , 1 ], [...principal components, versus 1 large SVD of complexity O(n_samples...scikit-learn.org/stable/modules/generated/sklearn.decomposition.IncrementalPCA.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 -
kmeans_plusplus — scikit-learn 1.8.0 documentation
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2...provided array. Added in version 1.3. x_squared_norms array-like...scikit-learn.org/stable/modules/generated/sklearn.cluster.kmeans_plusplus.html -
accuracy_score — scikit-learn 1.8.0 documentation
1 ], [ 1 , 1 ]]), np . ones (( 2 , 2...y_pred = [ 0 , 2 , 1 , 3 ] >>> y_true = [ 0 , 1 , 2 , 3 ] >>> accuracy_score...scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html -
ExtraTreesRegressor — scikit-learn 1.8.0 docume...
min_samples_leaf = 1 , min_weight_fraction_leaf = 0.0 , max_features = 1.0 ,...e.g. 0.3. Changed in version 1.1: The default of max_features...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html -
ClusterMixin — scikit-learn 1.8.0 documentation
fit_predict ( X ) array([1, 1, 1]) fit_predict ( X , y = None...) ... return self >>> X = [[ 1 , 2 ], [ 2 , 3 ], [ 3 , 4 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.base.ClusterMixin.html -
make_sparse_uncorrelated — scikit-learn 1.8.0 d...
described in Celeux et al [1]. as: X ~ N ( 0 , 1 ) y ( X ) = X [:, 0...0 ] + 2 * X [:, 1 ] - 2 * X [:, 2 ] - 1.5 * X [:, 3 ] Only the...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_uncorrelated.html