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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 -
Two-class AdaBoost — scikit-learn 1.8.0 documen...
This example fits an AdaBoosted decision stump on a non-linearly separable classification dataset composed of two “Gaussian quantiles” clusters (see sklearn.datasets.make_gaussian_quantiles) and pl...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html -
Vector Quantization Example — scikit-learn 1.8....
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 -
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 -
Orthogonal Matching Pursuit — scikit-learn 1.8....
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 0.174 seconds) Launch binder Launch J...scikit-learn.org/stable/auto_examples/linear_model/plot_omp.html -
SGD: Weighted samples — scikit-learn 1.8.0 docu...
Plot decision function of a weighted dataset, where the size of points is proportional to its weight. Total running time of the script:(0 minutes 0.063 seconds) Launch binder Launch JupyterLite Dow...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_weighted_samples.html -
Caching nearest neighbors — scikit-learn 1.8.0 ...
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 -
Release Highlights for scikit-learn 1.4 — sciki...
Documentation for RandomForestClassifi...None One can access the documentation of the estimator by clicking...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_4_0.html -
8.4. Loading other datasets — scikit-learn 1.8....
see the OpenML documentation The data_id of the mice...scikit-learn.org/stable/datasets/loading_other_datasets.html -
Gaussian Mixture Models — scikit-learn 1.8.0 do...
Examples concerning the sklearn.mixture module. Concentration Prior Type Analysis of Variation Bayesian Gaussian Mixture Density Estimation for a Gaussian mixture GMM Initialization Methods GMM cov...scikit-learn.org/stable/auto_examples/mixture/index.html