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  1. sklearn.manifold — scikit-learn 1.5.2 documenta...

    Data embedding techniques. User guide. See the Manifold learning section for further details.
    scikit-learn.org/stable/api/sklearn.manifold.html
    Sat Nov 23 04:49:15 UTC 2024
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  2. make_friedman1 — scikit-learn 1.5.2 documentation

    Skip to main content Back to top Ctrl + K GitHub make_friedman1 # sklearn.datasets. make_friedman1 ( n_samples = 100 ...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman1.html
    Sat Nov 23 04:49:16 UTC 2024
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  3. dcg_score — scikit-learn 1.5.2 documentation

    Skip to main content Back to top Ctrl + K GitHub dcg_score # sklearn.metrics. dcg_score ( y_true , y_score , * , k = ...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.dcg_score.html
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  4. matthews_corrcoef — scikit-learn 1.5.2 document...

    Skip to main content Back to top Ctrl + K GitHub matthews_corrcoef # sklearn.metrics. matthews_corrcoef ( y_true , y_...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.matthews_corrcoef.html
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  5. check_cv — scikit-learn 1.5.2 documentation

    Skip to main content Back to top Ctrl + K GitHub check_cv # sklearn.model_selection. check_cv ( cv = 5 , y = None , *...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.check_cv.html
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  6. sklearn.inspection — scikit-learn 1.5.2 documen...

    Tools for model inspection. User guide. See the Inspection section for further details. Plotting:
    scikit-learn.org/stable/api/sklearn.inspection.html
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  7. rand_score — scikit-learn 1.5.2 documentation

    Gallery examples: Adjustment for chance in clustering performance evaluation
    scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html
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  8. log_loss — scikit-learn 1.5.2 documentation

    Gallery examples: Probability Calibration curves Probability Calibration for 3-class classification Gradient Boosting Out-of-Bag estimates Gradient Boosting regularization Probabilistic predictions...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.log_loss.html
    Sat Nov 23 04:49:14 UTC 2024
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  9. r2_score — scikit-learn 1.5.2 documentation

    Gallery examples: L1-based models for Sparse Signals Linear Regression Example Non-negative least squares Failure of Machine Learning to infer causal effects Effect of transforming the targets in r...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html
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  10. roc_curve — scikit-learn 1.5.2 documentation

    Gallery examples: Species distribution modeling Visualizations with Display Objects Detection error tradeoff (DET) curve Multiclass Receiver Operating Characteristic (ROC)
    scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html
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