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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 -
lasso_path — scikit-learn 1.7.2 documentation
scikit-learn.org/stable/modules/generated/sklearn.linear_model.lasso_path.html -
cross_validate — scikit-learn 1.7.2 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 -
Caching nearest neighbors — scikit-learn 1.7.2 ...
This example demonstrates how to precompute the k nearest neighbors before using them in KNeighborsClassifier. KNeighborsClassifier can compute the nearest neighbors internally, but precomputing th...scikit-learn.org/stable/auto_examples/neighbors/plot_caching_nearest_neighbors.html -
Examples of Using FrozenEstimator — scikit-lear...
This example showcases some use cases of FrozenEstimator. FrozenEstimator is a utility class that allows to freeze a fitted estimator. This is useful, for instance, when we want to pass a fitted es...scikit-learn.org/stable/auto_examples/frozen/plot_frozen_examples.html -
make_blobs — scikit-learn 1.7.2 documentation
Gallery examples: Probability calibration of classifiers Probability Calibration for 3-class classification Normal, Ledoit-Wolf and OAS Linear Discriminant Analysis for classification Demo of affin...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_blobs.html -
pairwise_distances — scikit-learn 1.7.2 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 -
check_estimator — scikit-learn 1.7.2 documentation
scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.check_estimator.html -
sklearn.datasets — scikit-learn 1.7.2 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 -
validation_curve — scikit-learn 1.7.2 documenta...
scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html