Finds core samples of high density and expands clusters from them. print(__doc__) import numpy as np from

Fit regression model with Bayesian Ridge Regression. See

Example of Receiver Operating Characteristic (ROC) metric to evaluate classifier output quality using cross-validation. ROC

Partial dependence plots show the dependence between the target function

The multi-task lasso allows to fit multiple regression problems jointly enforcing the selected features to be the same across tasks. This example

These figures aid in illustrating how a point cloud can be very flat in one direction?which is where PCA comes in to choose a direction that is not flat.

Plot the classification probability for different classifiers. We use a 3 class dataset, and we classify it with a Support Vector classifier, L1 and L2 penalized

An example of estimating sources from noisy data.

The usual covariance maximum likelihood estimate can be regularized using shrinkage. Ledoit and Wolf proposed a close formula to compute the asymptotically optimal

Use SelectFromModel meta-transformer along with Lasso to select the best couple of features from the Boston dataset.