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1.1. Linear Models — scikit-learn 1.4.2 documen...
1.1. Linear Models 1.1.1. Ordinary Least Squares 1.1.1.1.... 1.e-05, 1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02,...scikit-learn.org/stable/modules/linear_model.html -
Version 1.4 — scikit-learn 1.4.2 documentation
Version 1.4 Version 1.4.2 Version 1.4.1.post1 Metadata...2. Version 1.4.1.post1 February 2024 Note The 1.4.1.post1 release...scikit-learn.org/stable/whats_new/v1.4.html -
Version 1.3 — scikit-learn 1.4.2 documentation
Version 1.3 Version 1.3.2 Changelog sklearn.datasets...sklearn.metrics sklearn.tree Version 1.3.1 Changed models Changes impacting...scikit-learn.org/stable/whats_new/v1.3.html -
Version 1.2 — scikit-learn 1.4.2 documentation
is deprecated in 1.2.1 and will be removed in 1.5. Instead, import...use the software. Version 1.2 Version 1.2.2 Changelog sklearn.base...scikit-learn.org/stable/whats_new/v1.2.html -
Older Versions — scikit-learn 1.4.2 documentation
1 Meng Xinfan 1 Rob Zinkov 1 Shiqiao 1 Udi Weinsberg 1 Virgile...Cournapeau 1 Keith Goodman 1 Ludwig Schwardt 1 Olivier Hervieu 1 Sergio...scikit-learn.org/stable/whats_new/older_versions.html -
2.3. Clustering — scikit-learn 1.4.2 documentation
1 , 1 , 1 ] >>> labels_pred = [ 0 , 0 , 1 , 1 , 2 , 2...0 , 0 , 1 , 1 , 1 ] >>> labels_pred = [ 0 , 0 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/clustering.html -
sklearn.tree.DecisionTreeClassifier — scikit-le...
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...instead of [{1:1}, {2:5}, {3:1}, {4:1}]. The “balanced” mode uses...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html -
Examples — scikit-learn 1.4.2 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...scikit-learn 1.4 Release Highlights for scikit-learn 1.4 Release...scikit-learn.org/stable/auto_examples/index.html -
sklearn.preprocessing.StandardScaler — scikit-l...
( 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 -
sklearn.linear_model.SGDClassifier — scikit-lea...
array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...(clip(decision_function(X), -1, 1) + 1) / 2. For other loss functions...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html