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DotProduct — scikit-learn 1.7.1 documentation
Gallery examples: Iso-probability lines for Gaussian Processes classification (GPC) Illustration of Gaussian process classification (GPC) on the XOR dataset Illustration of prior and posterior Gaus...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.DotProduct.html -
PatchExtractor — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version PatchExtractor # class sklearn.feature_extraction.ima...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.PatchExtractor.html -
KernelPCA — scikit-learn 1.7.1 documentation
Gallery examples: Image denoising using kernel PCA Kernel PCAscikit-learn.org/stable/modules/generated/sklearn.decomposition.KernelPCA.html -
CCA — scikit-learn 1.7.1 documentation
Gallery examples: Compare cross decomposition methods Multilabel classificationscikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.CCA.html -
MiniBatchDictionaryLearning — scikit-learn 1.7....
Gallery examples: Faces dataset decompositions Image denoising using dictionary learningscikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html -
MetadataRouter — scikit-learn 1.7.1 documentation
Gallery examples: Metadata Routingscikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRouter.html -
LinearRegression — scikit-learn 1.7.1 documenta...
Gallery examples: Principal Component Regression vs Partial Least Squares Regression Plot individual and voting regression predictions Failure of Machine Learning to infer causal effects Comparing ...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html -
TransformedTargetRegressor — scikit-learn 1.7.1...
Gallery examples: Effect of transforming the targets in regression model Common pitfalls in the interpretation of coefficients of linear models Poisson regression and non-normal lossscikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
Ridge — scikit-learn 1.7.1 documentation
Gallery examples: Prediction Latency Compressive sensing: tomography reconstruction with L1 prior (Lasso) Comparison of kernel ridge and Gaussian process regression Imputing missing values with var...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html -
Lasso — scikit-learn 1.7.1 documentation
Gallery examples: Compressive sensing: tomography reconstruction with L1 prior (Lasso) L1-based models for Sparse Signals Lasso on dense and sparse data Joint feature selection with multi-task Lass...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html