Package org.tribuo.regression.sgd.objectives

package org.tribuo.regression.sgd.objectives

Provides regression loss functions for Stochastic Gradient Descent.

Related Packages

Package	Description
org.tribuo.regression.sgd	Provides infrastructure for Stochastic Gradient Descent based regression models.
org.tribuo.regression.sgd.fm	Provides an implementation of factorization machines for regression using Stochastic Gradient Descent.
org.tribuo.regression.sgd.linear	Provides an implementation of linear regression using Stochastic Gradient Descent.

Classes

Class	Description
AbsoluteLoss	Absolute loss (i.e., l1).
Huber	Huber loss, i.e., a mixture of l2 and l1 losses.
SquaredLoss	Squared loss, i.e., l2.