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Generalized Linear Models#

Examples concerning the sklearn.linear_model module.

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Comparing Linear Bayesian Regressors

Comparing Linear Bayesian Regressors
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Curve Fitting with Bayesian Ridge Regression

Curve Fitting with Bayesian Ridge Regression
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Decision Boundaries of Multinomial and One-vs-Rest Logistic Regression

Decision Boundaries of Multinomial and One-vs-Rest Logistic Regression
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Early stopping of Stochastic Gradient Descent

Early stopping of Stochastic Gradient Descent
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Fitting an Elastic Net with a precomputed Gram Matrix and Weighted Samples

Fitting an Elastic Net with a precomputed Gram Matrix and Weighted Samples
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HuberRegressor vs Ridge on dataset with strong outliers

HuberRegressor vs Ridge on dataset with strong outliers
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Joint feature selection with multi-task Lasso

Joint feature selection with multi-task Lasso
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L1 Penalty and Sparsity in Logistic Regression

L1 Penalty and Sparsity in Logistic Regression
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L1-based models for Sparse Signals

L1-based models for Sparse Signals
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Lasso model selection via information criteria

Lasso model selection via information criteria
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Lasso model selection: AIC-BIC / cross-validation

Lasso model selection: AIC-BIC / cross-validation
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Lasso on dense and sparse data

Lasso on dense and sparse data
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Lasso, Lasso-LARS, and Elastic Net paths

Lasso, Lasso-LARS, and Elastic Net paths
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MNIST classification using multinomial logistic + L1

MNIST classification using multinomial logistic + L1
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Multiclass sparse logistic regression on 20newgroups

Multiclass sparse logistic regression on 20newgroups
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Non-negative least squares

Non-negative least squares
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One-Class SVM versus One-Class SVM using Stochastic Gradient Descent

One-Class SVM versus One-Class SVM using Stochastic Gradient Descent
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Ordinary Least Squares and Ridge Regression

Ordinary Least Squares and Ridge Regression
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Orthogonal Matching Pursuit

Orthogonal Matching Pursuit
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Plot Ridge coefficients as a function of the regularization

Plot Ridge coefficients as a function of the regularization
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Plot multi-class SGD on the iris dataset

Plot multi-class SGD on the iris dataset
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Poisson regression and non-normal loss

Poisson regression and non-normal loss
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Polynomial and Spline interpolation

Polynomial and Spline interpolation
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Quantile regression

Quantile regression
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Regularization path of L1- Logistic Regression

Regularization path of L1- Logistic Regression
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Ridge coefficients as a function of the L2 Regularization

Ridge coefficients as a function of the L2 Regularization
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Robust linear estimator fitting

Robust linear estimator fitting
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Robust linear model estimation using RANSAC

Robust linear model estimation using RANSAC
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SGD: Maximum margin separating hyperplane

SGD: Maximum margin separating hyperplane
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SGD: Penalties

SGD: Penalties
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SGD: Weighted samples

SGD: Weighted samples
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SGD: convex loss functions

SGD: convex loss functions
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Theil-Sen Regression

Theil-Sen Regression
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Tweedie regression on insurance claims

Tweedie regression on insurance claims

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Probabilistic predictions with Gaussian process classification (GPC)

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Comparing Linear Bayesian Regressors

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