Regression methods. More...

Classes
class	BayesianLinearRegression
	A Bayesian approach to the maximum likelihood estimation of the parameters $\omega$ of the linear regression model. More...

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.

Classes