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MiniBatchKMeans — scikit-learn 1.7.0 documentation
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2...0 , 1 ], [ 2 , 2 ], ... [ 3 , 2 ], [ 5 , 5 ], [ 1 , - 1 ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.cluster.MiniBatchKMeans.html -
LinearSVC — scikit-learn 1.7.0 documentation
intercept term: [x_1, ..., x_n, 1] , where 1 corresponds to the...version 1.3: The "auto" option is added in version 1.3 and will...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html -
GaussianProcessRegressor — scikit-learn 1.7.0 d...
ConstantKernel(1.0, constant_value_bounds="fixed") * RBF(1.0, lengt...implementation is based on Algorithm 2.1 of [RW2006] . In addition to standard...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html -
get_routing_for_object — scikit-learn 1.6.1 doc...
Added in version 1.3. Parameters : obj object If...scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.get_routing_for_object.html -
FunctionTransformer — scikit-learn 1.7.0 docume...
Added in version 1.1. kw_args dict, default=None Dictionary...) array([[0. , 0.6931], [1.0986, 1.3862]]) fit ( X , y = None...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.FunctionTransformer.html -
empirical_covariance — scikit-learn 1.7.0 docum...
>>> X = [[ 1 , 1 , 1 ],[ 1 , 1 , 1 ],[ 1 , 1 , 1 ], ... [ 0 ,...scikit-learn.org/stable/modules/generated/sklearn.covariance.empirical_covariance.html -
SelectFromModel — scikit-learn 1.7.0 documentation
[ - 1.34 , - 0.48 , - 2.55 ], ... [ 1.92 , 1.48 , 0.65...version 0.20. Changed in version 1.1: max_features accepts a callable....scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFromModel.html -
incr_mean_variance_axis — scikit-learn 1.6.1 do...
(array([1.3..., 0.1..., 1.1...]), array([8.8..., 0.1..., 3.4...]),...array ([ 0 , 1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5 ])...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.incr_mean_variance_axis.html -
8.4. Loading other datasets — scikit-learn 1.7....
1. Sample images # Scikit-learn...forget to scale to the range 0 - 1 as done in the following example....scikit-learn.org/stable/datasets/loading_other_datasets.html -
HuberRegressor — scikit-learn 1.7.0 documentation
epsilon = 1.35 , max_iter = 100 , alpha =...Parameters : epsilon float, default=1.35 The parameter epsilon controls...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html