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      • Linear Models
        • Linear classifiers
        • Classical linear regressors
        • Regressors with variable selection
        • Bayesian Reg.
        • Multi-task linear regressors with variable selection
        • Outlier-robust regressors
      • Manifold Learning
      • Gaussian Mixture Models
      • Model Selection
      • Multiclass and Multilabel Classification
      • Multioutput regression and classification
      • Naive Bayes
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      • Support Vector Machines
    • Data Predict/Transform
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Linear Models

Contents

Linear Classifiersarrow-up-right

Classical linear regressorsarrow-up-right

Regressors with variable selectionarrow-up-right

Bayesian Reg.arrow-up-right

Multi-task linear regressors with variable selectionarrow-up-right

Outlier-robust regressorsarrow-up-right

PreviousKernel Ridge Regressionchevron-leftNextLinear classifierschevron-right

Last updated 4 years ago