mlpack_regression(3)

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.