NAME¶

mlpack::regression - Regression methods.

SYNOPSIS¶

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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