mlpack: a scalable c++ machine learning library
mlpack  2.2.2
mlpack::regression Namespace Reference

Regression methods. More...

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). More...

 
class  LinearRegression
 A simple linear regression algorithm using ordinary least squares. More...

 
class  LogisticRegression
 The LogisticRegression class implements an L2-regularized logistic regression model, and supports training with multiple optimizers and classification. More...

 
class  LogisticRegressionFunction
 The log-likelihood function for the logistic regression objective function. More...

 
class  SoftmaxRegression
 Softmax Regression is a classifier which can be used for classification when the data available can take two or more class values. More...

 
class  SoftmaxRegressionFunction
 

Detailed Description

Regression methods.