Uses of Class
org.tribuo.transform.TransformationMap

Packages that use TransformationMap

Package	Description
org.tribuo	Provides the core interfaces and classes for using Tribuo.
org.tribuo.data	Provides classes for loading in data from disk, processing it into examples, and splitting datasets for things like cross-validation and train-test splits.
org.tribuo.transform	Provides infrastructure for applying transformations to a Dataset.

Uses of TransformationMap in org.tribuo

Methods in org.tribuo with parameters of type TransformationMap

Modifier and Type	Method	Description
TransformerMap	Dataset.createTransformers(TransformationMap transformations)	Takes a TransformationMap and converts it into a TransformerMap by observing all the values in this dataset.
TransformerMap	Dataset.createTransformers(TransformationMap transformations, boolean includeImplicitZeroFeatures)	Takes a TransformationMap and converts it into a TransformerMap by observing all the values in this dataset.

Uses of TransformationMap in org.tribuo.data

Fields in org.tribuo.data declared as TransformationMap

Modifier and Type	Field	Description
TransformationMap	CompletelyConfigurableTrainTest.ConfigurableTrainTestOptions.transformationMap	Load a transformation map from the config file.
TransformationMap	ConfigurableTrainTest.ConfigurableTrainTestOptions.transformationMap	Load a transformation map from the config file.

Uses of TransformationMap in org.tribuo.transform

Constructors in org.tribuo.transform with parameters of type TransformationMap

Modifier	Constructor	Description
	TransformTrainer(Trainer<T> innerTrainer, TransformationMap transformations)	Creates a trainer which transforms the data before training, and stores the transformers along with the trained model in a TransformedModel.
	TransformTrainer(Trainer<T> innerTrainer, TransformationMap transformations, boolean densify)	Creates a trainer which transforms the data before training, and stores the transformers along with the trained model in a TransformedModel.
	TransformTrainer(Trainer<T> innerTrainer, TransformationMap transformations, boolean densify, boolean includeImplicitZeroFeatures)	Creates a trainer which transforms the data before training, and stores the transformers along with the trained model in a TransformedModel.