mlpack
2.2.2

mlpack::regression Namespace Reference
Regression methods. More...
Classes  
class  LARS 
An implementation of LARS, a stagewise homotopybased algorithm for l1regularized 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 L2regularized logistic regression model, and supports training with multiple optimizers and classification. More...  
class  LogisticRegressionFunction 
The loglikelihood 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.
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