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11. Common pitfalls and recommended practices —...
n_features = 1 , noise = 1 ) >>> X_train , X_test ,...applies to using None . 11.3.1.1. Estimators # Passing instances...scikit-learn.org/stable/common_pitfalls.html -
load_files — scikit-learn 1.7.0 documentation
container_folder/ category_1_folder/ file_1.txt file_2.txt ... file_42.txt...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_files.html -
StackingRegressor — scikit-learn 1.7.0 document...
in version 1.1: The ‘prefit’ option was added in 1.1 Note A larger...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingRegressor.html -
Classification of text documents using sparse f...
the mean squared error on {-1, 1} encoded targets, one for each...n_features: { X_train . shape [ 1 ] } " ) print ( f "vectorize testing...scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html -
Perceptron — scikit-learn 1.7.0 documentation
l1_ratio <= 1 . l1_ratio=0 corresponds to L2 penalty, l1_ratio=1 to L1....means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Perceptron.html -
Comparing different clustering algorithms on to...
"connectivity matrix is [0-9]{1,2}" " > 1. Completing it to avoid stopping...= n_samples , cluster_std = [ 1.0 , 2.5 , 0.5 ], random_state...scikit-learn.org/stable/auto_examples/cluster/plot_cluster_comparison.html -
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 -
SimpleImputer — scikit-learn 1.7.0 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...Added in version 1.2. Changed in version 1.6: Currently, when...scikit-learn.org/stable/modules/generated/sklearn.impute.SimpleImputer.html -
StratifiedKFold — scikit-learn 1.7.0 documentation
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...>>> y = np . array ([ 0 , 0 , 1 , 1 ]) >>> skf = StratifiedKFold...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.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