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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 -
Caching nearest neighbors — scikit-learn 1.7.1 ...
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 -
check_estimator — scikit-learn 1.7.1 documentation
scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.check_estimator.html -
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...
scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.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 -
f_regression — scikit-learn 1.7.1 documentation
Gallery examples: Feature agglomeration vs. univariate selection Comparison of F-test and mutual informationscikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_regression.html -
lasso_path — scikit-learn 1.7.1 documentation
scikit-learn.org/stable/modules/generated/sklearn.linear_model.lasso_path.html -
Robust covariance estimation and Mahalanobis di...
This example shows covariance estimation with Mahalanobis distances on Gaussian distributed data. For Gaussian distributed data, the distance of an observation x_i to the mode of the distribution c...scikit-learn.org/stable/auto_examples/covariance/plot_mahalanobis_distances.html