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Comparison of Calibration of Classifiers — scik...
Well calibrated classifiers are probabilistic classifiers for which the output of predict_proba can be directly interpreted as a confidence level. For instance, a well calibrated (binary) classifie...scikit-learn.org/stable/auto_examples/calibration/plot_compare_calibration.html -
Vector Quantization Example — scikit-learn 1.7....
This example shows how one can use KBinsDiscretizer to perform vector quantization on a set of toy image, the raccoon face. Original image: We start by loading the raccoon face image from SciPy. We...scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html -
validation_curve — scikit-learn 1.7.1 documenta...
Gallery examples: Scaling the regularization parameter for SVCsscikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html -
pairwise_distances — scikit-learn 1.7.1 documen...
Gallery examples: Agglomerative clustering with different metrics Release Highlights for scikit-learn 1.5scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances.html -
Orthogonal Matching Pursuit — scikit-learn 1.7....
Using orthogonal matching pursuit for recovering a sparse signal from a noisy measurement encoded with a dictionary Total running time of the script:(0 minutes 0.203 seconds) Launch binder Launch J...scikit-learn.org/stable/auto_examples/linear_model/plot_omp.html -
cross_validate — scikit-learn 1.7.1 documentation
Gallery examples: Time-related feature engineering Lagged features for time series forecasting Categorical Feature Support in Gradient Boosting Features in Histogram Gradient Boosting Trees Combine...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_validate.html -
sklearn.datasets — scikit-learn 1.7.1 documenta...
Utilities to load popular datasets and artificial data generators. User guide. See the Dataset loading utilities section for further details. Loaders: Sample generators:scikit-learn.org/stable/api/sklearn.datasets.html -
sklearn.impute — scikit-learn 1.7.1 documentation
Transformers for missing value imputation. User guide. See the Imputation of missing values section for further details.scikit-learn.org/stable/api/sklearn.impute.html -
isotonic_regression — scikit-learn 1.7.1 docume...
Skip to main content Back to top Ctrl + K GitHub Choose version isotonic_regression # sklearn.isotonic. isotonic_regr...scikit-learn.org/stable/modules/generated/sklearn.isotonic.isotonic_regression.html -
sklearn.isotonic — scikit-learn 1.7.1 documenta...
Isotonic regression for obtaining monotonic fit to data. User guide. See the Isotonic regression section for further details.scikit-learn.org/stable/api/sklearn.isotonic.html