Package | Description |
---|---|
org.tribuo.classification.explanations.lime |
Provides an implementation of LIME (Locally Interpretable Model Explanations).
|
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 | |
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.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.
|
Class and Description |
---|
Regressor
An
Output for n-dimensional real valued regression. |
Class and Description |
---|
Regressor
An
Output for n-dimensional real valued regression. |
Class and Description |
---|
Regressor
An
Output for n-dimensional real valued regression. |
Class and Description |
---|
ImmutableRegressionInfo
A
ImmutableOutputInfo for Regressor s. |
MutableRegressionInfo
A
MutableOutputInfo for Regressor s. |
RegressionInfo
The base class for regression information using
Regressor s. |
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. |
Class and Description |
---|
Regressor
An
Output for n-dimensional real valued regression. |
Class and Description |
---|
Regressor
An
Output for n-dimensional real valued regression. |
Class and Description |
---|
Regressor
An
Output for n-dimensional real valued regression. |
Class and Description |
---|
Regressor
An
Output for n-dimensional real valued regression. |
Class and 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. |
Class and Description |
---|
Regressor
An
Output for n-dimensional real valued regression. |
Class and Description |
---|
Regressor
An
Output for n-dimensional real valued regression. |
Class and Description |
---|
Regressor
An
Output for n-dimensional real valued regression. |
Class and Description |
---|
Regressor
An
Output for n-dimensional real valued regression. |
Class and Description |
---|
Regressor
An
Output for n-dimensional real valued regression. |
Class and 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. |
Class and Description |
---|
Regressor
An
Output for n-dimensional real valued regression. |
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