Plot the contours of the three penalties. All of the above are supported by sklearn.linear_model.stochastic_gradient.
Fit Ridge and HuberRegressor on a dataset with outliers. The example shows that the predictions in ridge are strongly influenced
Computes a Theil-Sen Regression on a synthetic dataset. See
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
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
Given a small number of observations, we want to recover which features of X are relevant to explain y. For this
Show below is a logistic-regression classifiers decision boundaries on the
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