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HDBSCAN — scikit-learn 1.6.1 documentation
Gallery examples: Release Highlights for scikit-learn 1.3 Comparing different clustering algorithms on toy datasets Demo of HDBSCAN clustering algorithmscikit-learn.org/stable/modules/generated/sklearn.cluster.HDBSCAN.html -
EllipticEnvelope — scikit-learn 1.6.1 documenta...
Gallery examples: Outlier detection on a real data set Comparing anomaly detection algorithms for outlier detection on toy datasetsscikit-learn.org/stable/modules/generated/sklearn.covariance.EllipticEnvelope.html -
ShrunkCovariance — scikit-learn 1.6.1 documenta...
Gallery examples: Shrinkage covariance estimation: LedoitWolf vs OAS and max-likelihood Model selection with Probabilistic PCA and Factor Analysis (FA)scikit-learn.org/stable/modules/generated/sklearn.covariance.ShrunkCovariance.html -
SparsePCA — scikit-learn 1.6.1 documentation
scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparsePCA.html -
GaussianProcessClassifier — scikit-learn 1.6.1 ...
Gallery examples: Classifier comparison Plot classification probability Gaussian process classification (GPC) on iris dataset Gaussian processes on discrete data structures Illustration of Gaussian...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html -
QuadraticDiscriminantAnalysis — scikit-learn 1....
Gallery examples: Classifier comparison Linear and Quadratic Discriminant Analysis with covariance ellipsoidscikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnal... -
HistGradientBoostingRegressor — scikit-learn 1....
Gallery examples: Release Highlights for scikit-learn 1.3 Release Highlights for scikit-learn 1.2 Release Highlights for scikit-learn 1.1 Release Highlights for scikit-learn 1.0 Release Highlights ...scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html -
RFE — scikit-learn 1.6.1 documentation
scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFE.html -
Matern — scikit-learn 1.6.1 documentation
scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Matern.html -
RationalQuadratic — scikit-learn 1.6.1 document...
Gallery examples: Forecasting of CO2 level on Mona Loa dataset using Gaussian process regression (GPR) Illustration of prior and posterior Gaussian process for different kernelsscikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RationalQuadratic.html