Uses of Package
org.tribuo.regression
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 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 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.
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ClassDescriptionA
ImmutableOutputInfo
forRegressor
s.AMutableOutputInfo
forRegressor
s.A factory for creatingRegressor
s andRegressionInfo
s.The base class for regression information usingRegressor
s.AnOutput
for n-dimensional real valued regression.ARegressor
which contains a single dimension, used internally when the model implementation doesn't natively support multi-dimensional regression outputs. -
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