mlpack_regression(3)

mlpack_regression3

Regression methods.

Usage

Classes

class LARS
An implementation of LARS, a stage-wise homotopy-based algorithm for l1-regularized linear regression (LASSO) and l1+l2 regularized linear regression (Elastic Net). class LinearRegression
A simple linear regression algorithm using ordinary least squares. class LogisticRegression
class LogisticRegressionFunction
The log-likelihood function for the logistic regression objective function.

Detailed Description

Regression methods.

Author

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From mlpack-doc 1.0.10-1 in Debian 8 (Jessie). Parsed by carta from the page's man source.