Package org.tribuo.regression

package org.tribuo.regression

Provides classes and infrastructure for regression problems with single or multiple output dimensions.

All Tribuo regressions are treated as if they have multiple output dimensions, there is no special casing in the API for single dimensional regression. As a result the methods on Regressor all return arrays of values. Each Regressor can be seen as a collection of Regressor.DimensionTuple each of which represents a single named regression dimension, along with the associated regressed value and optionally a variance.

Related Packages

Package	Description
org.tribuo	Provides the core interfaces and classes for using Tribuo.
org.tribuo.regression.baseline	Provides simple baseline regression predictors.
org.tribuo.regression.ensemble	Provides EnsembleCombiner implementations for working with multi-output regression problems.
org.tribuo.regression.evaluation	Evaluation classes for single or multi-dimensional regression.
org.tribuo.regression.example	Provides some example regression data generators for testing implementations.
org.tribuo.regression.impl	Provides skeletal implementations of Regressor Trainer that can wrap a single dimension trainer/model and produce one prediction per dimension independently.
org.tribuo.regression.liblinear	Provides an interface to liblinear for regression problems.
org.tribuo.regression.libsvm	Provides an interface to LibSVM for regression problems.
org.tribuo.regression.rtree	Provides an implementation of decision trees for regression problems.
org.tribuo.regression.sgd	Provides infrastructure for Stochastic Gradient Descent based regression models.
org.tribuo.regression.slm	Provides implementations of sparse linear regression using various forms of regularisation penalty.
org.tribuo.regression.xgboost	Provides an interface to XGBoost for regression problems.

Classes

Class	Description
ImmutableRegressionInfo	A ImmutableOutputInfo for Regressors.
MutableRegressionInfo	A MutableOutputInfo for Regressors.
RegressionFactory	A factory for creating Regressors and RegressionInfos.
RegressionFactory.RegressionFactoryProvenance	Provenance for RegressionFactory.
RegressionInfo	The base class for regression information using Regressors.
Regressor	An Output for n-dimensional real valued regression.
Regressor.DimensionTuple	A Regressor which contains a single dimension, used internally when the model implementation doesn't natively support multi-dimensional regression outputs.