Fit regression model with Bayesian Ridge Regression. See

Fit Ridge and HuberRegressor on a dataset with outliers. The example shows that the predictions in ridge are strongly influenced

Computes path on IRIS dataset. print(__doc__) # Author: Alexandre Gramfort <alexandre.gramfort@inria.fr>

Plot the maximum margin separating hyperplane within a two-class separable dataset using a linear Support Vector Machines classifier trained using SGD

Given a small number of observations, we want to recover which features of X are relevant to explain y. For this

Due to the few points in each dimension and the straight line that linear regression uses to follow these points as well as it can, noise

Plot decision surface of multi-class SGD on iris dataset. The hyperplanes corresponding to the three one-versus-all (OVA) classifiers are represented

Plot decision surface of multinomial and One-vs-Rest Logistic Regression. The hyperplanes corresponding to the three One-vs-Rest (OVR) classifiers

Computes a Theil-Sen Regression on a synthetic dataset. See

We show that linear_model.Lasso provides the same results for dense and sparse data and that in the case of sparse data the speed is improved.