Gallery examples: Plot classification probability Decision Boundaries of Multinomial and One-vs-Rest Logistic Regression Multiclass sparse logistic regression on 20newgroups Multilabel classificati...| scikit-learn
Methods for scaling, centering, normalization, binarization, and more. User guide. See the Preprocessing data section for further details.| 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
The following are a set of methods intended for regression in which the target value is expected to be a linear combination of the features. In mathematical notation, if\hat{y} is the predicted val...| scikit-learn
Change the default backend used by Parallel inside a with block.| joblib.readthedocs.io