Uses of Class
org.tribuo.regression.Regressor

Packages that use Regressor
Package
Description
Provides an implementation of LIME (Locally Interpretable Model Explanations).
Code for uploading models to Oracle Cloud Infrastructure Data Science, and also for scoring models deployed in Oracle Cloud Infrastructure Data Science.
This package contains a Tribuo wrapper around the ONNX Runtime.
Provides an interface to TensorFlow, allowing the training of non-sequential models using any supported Tribuo output type.
Provides classes and infrastructure for regression problems with single or multiple output dimensions.
Provides simple baseline regression predictors.
Provides EnsembleCombiner implementations for working with multi-output regression problems.
Evaluation classes for single or multi-dimensional regression.
Provides some example regression data generators for testing implementations.
Provides skeletal implementations of Regressor Trainer that can wrap a single dimension trainer/model and produce one prediction per dimension independently.
Provides an interface to liblinear for regression problems.
Provides an interface to LibSVM for regression problems.
Provides an implementation of decision trees for regression problems.
Provides internal implementation classes for the regression trees.
Provides an implementation of factorization machines for regression using Stochastic Gradient Descent.
Provides an implementation of linear regression using Stochastic Gradient Descent.
Provides implementations of sparse linear regression using various forms of regularisation penalty.
Provides an interface to XGBoost for regression problems.