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MiniBatchNMF — scikit-learn 1.7.2 documentation
Gallery examples: Topic extraction with Non-negative Matrix Factorization and Latent Dirichlet Allocation Release Highlights for scikit-learn 1.1scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchNMF.html -
PLSRegression — scikit-learn 1.7.2 documentation
Gallery examples: Compare cross decomposition methods Principal Component Regression vs Partial Least Squares Regressionscikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSRegression.html -
LedoitWolf — scikit-learn 1.7.2 documentation
Gallery examples: Shrinkage covariance estimation: LedoitWolf vs OAS and max-likelihood Ledoit-Wolf vs OAS estimation Model selection with Probabilistic PCA and Factor Analysis (FA)scikit-learn.org/stable/modules/generated/sklearn.covariance.LedoitWolf.html -
BayesianRidge — scikit-learn 1.7.2 documentation
Gallery examples: Feature agglomeration vs. univariate selection Imputing missing values with variants of IterativeImputer Imputing missing values before building an estimator Comparing Linear Baye...scikit-learn.org/stable/modules/generated/sklearn.linear_model.BayesianRidge.html -
ARDRegression — scikit-learn 1.7.2 documentation
Gallery examples: Comparing Linear Bayesian Regressors L1-based models for Sparse Signalsscikit-learn.org/stable/modules/generated/sklearn.linear_model.ARDRegression.html -
DummyClassifier — scikit-learn 1.7.2 documentation
Gallery examples: Multi-class AdaBoosted Decision Trees Post-tuning the decision threshold for cost-sensitive learning Detection error tradeoff (DET) curve Class Likelihood Ratios to measure classi...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html -
PredictionErrorDisplay — scikit-learn 1.7.2 doc...
Gallery examples: Time-related feature engineering Lagged features for time series forecasting Effect of transforming the targets in regression model Combine predictors using stacking Common pitfal...scikit-learn.org/stable/modules/generated/sklearn.metrics.PredictionErrorDisplay.html -
LassoLarsCV — scikit-learn 1.7.2 documentation
Gallery examples: Lasso model selection: AIC-BIC / cross-validationscikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html -
TheilSenRegressor — scikit-learn 1.7.2 document...
Gallery examples: Robust linear estimator fitting Theil-Sen Regressionscikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html -
PoissonRegressor — scikit-learn 1.7.2 documenta...
Gallery examples: Poisson regression and non-normal loss Tweedie regression on insurance claims Release Highlights for scikit-learn 0.23scikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.html