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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