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  1. 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
    Fri May 17 16:55:52 UTC 2024
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  2. 3.1. Cross-validation: evaluating estimator per...

    1.1. Computing cross-validated metrics 3.1.1.1. The cross_validate...3.1.2.1.1. K-fold 3.1.2.1.2. Repeated K-Fold 3.1.2.1.3. Leave One Out...
    scikit-learn.org/stable/modules/cross_validation.html
    Fri May 17 16:55:53 UTC 2024
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  3. 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
    Fri May 17 16:55:53 UTC 2024
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  4. 3.3. Metrics and scoring: quantifying the quali...

    1 , 1 , 1 , 1 , 1 ] >>> y_pred = [ 0 , 1 , 0 , 1 , 0 ,..., 0 , 1 , 1 , 1 , 1 , 1 ] >>> y_pred = [ 0 , 1 , 0 , 1 , 0 ,...
    scikit-learn.org/stable/modules/model_evaluation.html
    Fri May 17 16:55:52 UTC 2024
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  5. 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
    Fri May 17 16:55:51 UTC 2024
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  6. 1.11. Ensembles: Gradient boosting, random fore...

    Boosting 1.11.1.1.1. Usage 1.11.1.1.2. Missing values support 1.11.1.1.3....Features Support 1.11.1.1.5. Monotonic Constraints 1.11.1.1.6. Interaction...
    scikit-learn.org/stable/modules/ensemble.html
    Fri May 17 16:55:51 UTC 2024
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  7. 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
    Fri May 17 16:55:53 UTC 2024
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  8. 2.5. Decomposing signals in components (matrix ...

    ([[ 1 , 0 ], [ 1 , 6.1 ], [ 1 , 0 ], [ 1 , 4 ], [ 3.2 , 1 ], [...array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...
    scikit-learn.org/stable/modules/decomposition.html
    Fri May 17 16:55:53 UTC 2024
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  9. 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
    Fri May 17 16:55:53 UTC 2024
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  10. 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
    Fri May 17 16:55:51 UTC 2024
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