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    • Transfer: Python To R
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    • Data Preprocess
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      • Estimator
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      • Matrix Decomposition
      • Discriminant Analysis
      • Ensemble Methods
      • Feature Selection
      • Isotonic regression
      • Kernel Ridge Regression
      • 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
      • Nearest Neighbors
      • Neural network models
      • Support Vector Machines
    • Data Predict/Transform
    • Python Object Load,Save
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  1. Python
  2. Machine Learning

Linear Models

Contents

Linear Classifiers

Classical linear regressors

Regressors with variable selection

Bayesian Reg.

Multi-task linear regressors with variable selection

Outlier-robust regressors

PreviousKernel Ridge RegressionNextLinear classifiers

Last updated 4 years ago

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