M{array-like, sparse matrix} of shape (n_samples, n_features)Matrix to decompose.| scikit-learn
Gallery examples: Image denoising using kernel PCA Faces recognition example using eigenfaces and SVMs A demo of K-Means clustering on the handwritten digits data Column Transformer with Heterogene...| scikit-learn
Contains the metadata request info of a consumer.| scikit-learn
This guide demonstrates how metadata can be routed and passed between objects in scikit-learn. If you are developing a scikit-learn compatible estimator or meta-estimator, you can check our related...| scikit-learn
This glossary hopes to definitively represent the tacit and explicit conventions applied in Scikit-learn and its API, while providing a reference for users and contributors. It aims to describe the...| scikit-learn
Gallery examples: Feature agglomeration vs. univariate selection Pipeline ANOVA SVM Recursive feature elimination Poisson regression and non-normal loss Permutation Importance vs Random Forest Feat...| scikit-learn