Uses of Package
org.tribuo.regression

Packages that use org.tribuo.regression

Package	Description
org.tribuo.classification.explanations.lime	Provides an implementation of LIME (Locally Interpretable Model Explanations).
org.tribuo.interop.oci	Code for uploading models to Oracle Cloud Infrastructure Data Science, and also for scoring models deployed in Oracle Cloud Infrastructure Data Science.
org.tribuo.interop.onnx	This package contains a Tribuo wrapper around the ONNX Runtime.
org.tribuo.interop.tensorflow	Provides an interface to TensorFlow, allowing the training of non-sequential models using any supported Tribuo output type.
org.tribuo.regression	Provides classes and infrastructure for regression problems with single or multiple output dimensions.
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.rtree.impl	Provides internal implementation classes for the regression trees.
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.
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 in org.tribuo.regression used by org.tribuo.classification.explanations.lime

Class	Description
Regressor	An Output for n-dimensional real valued regression.

Classes in org.tribuo.regression used by org.tribuo.interop.oci

Class	Description
Regressor	An Output for n-dimensional real valued regression.

Classes in org.tribuo.regression used by org.tribuo.interop.onnx

Class	Description
Regressor	An Output for n-dimensional real valued regression.

Classes in org.tribuo.regression used by org.tribuo.interop.tensorflow

Class	Description
Regressor	An Output for n-dimensional real valued regression.

Classes in org.tribuo.regression used by org.tribuo.regression

Class	Description
ImmutableRegressionInfo	A ImmutableOutputInfo for Regressors.
MutableRegressionInfo	A MutableOutputInfo for Regressors.
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.

Classes in org.tribuo.regression used by org.tribuo.regression.baseline

Class	Description
Regressor	An Output for n-dimensional real valued regression.

Classes in org.tribuo.regression used by org.tribuo.regression.ensemble

Class	Description
Regressor	An Output for n-dimensional real valued regression.

Classes in org.tribuo.regression used by org.tribuo.regression.evaluation

Class	Description
Regressor	An Output for n-dimensional real valued regression.

Classes in org.tribuo.regression used by org.tribuo.regression.example

Class	Description
Regressor	An Output for n-dimensional real valued regression.

Classes in org.tribuo.regression used by org.tribuo.regression.impl

Class	Description
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.

Classes in org.tribuo.regression used by org.tribuo.regression.liblinear

Class	Description
Regressor	An Output for n-dimensional real valued regression.

Classes in org.tribuo.regression used by org.tribuo.regression.libsvm

Class	Description
Regressor	An Output for n-dimensional real valued regression.

Classes in org.tribuo.regression used by org.tribuo.regression.rtree

Class	Description
Regressor	An Output for n-dimensional real valued regression.

Classes in org.tribuo.regression used by org.tribuo.regression.rtree.impl

Class	Description
Regressor	An Output for n-dimensional real valued regression.

Classes in org.tribuo.regression used by org.tribuo.regression.sgd.fm

Class	Description
Regressor	An Output for n-dimensional real valued regression.

Classes in org.tribuo.regression used by org.tribuo.regression.sgd.linear

Class	Description
Regressor	An Output for n-dimensional real valued regression.

Classes in org.tribuo.regression used by org.tribuo.regression.slm

Class	Description
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.

Classes in org.tribuo.regression used by org.tribuo.regression.xgboost

Class	Description
Regressor	An Output for n-dimensional real valued regression.