org.tribuo.transform (Tribuo 4.0.2 API)

Interface Summary
Interface	Description
Transformation	An interface representing a class of transformations which can be applied to a feature.
TransformationProvenance	A tag interface for provenances in the transformation system.
Transformer	A fitted `Transformation` which can apply a transform to the input value.
TransformStatistics	An interface for the statistics that need to be collected for a specific `Transformation` on a single feature.

Class Summary
Class	Description
TransformationMap	A carrier type for a set of transformations to be applied to a `Dataset`.
TransformationMap.TransformationList	A carrier type as OLCUT does not support nested generics.
TransformedModel<T extends Output<T>>	Wraps a `Model` with it's `TransformerMap` so all `Example`s are transformed appropriately before the model makes predictions.
TransformerMap	A collection of `Transformer`s which can be applied to a `Dataset` or `Example`.
TransformerMap.TransformerMapProvenance	Provenance for `TransformerMap`.
TransformTrainer<T extends Output<T>>	A `Trainer` which encapsulates another trainer plus a `TransformationMap` object to apply to each `Dataset` before training each `Model`.

Package org.tribuo.transform Description

Provides infrastructure for applying transformations to a Dataset.

This package is the necessary infrastructure for transformations. The workflow is first to build a TransformationMap which represents the Transformations and the order that they should be applied to each Feature. This can be applied to a Dataset to produce a TransformerMap which contains a fitted set of Transformers which can be used to apply the transformation to any other Dataset (e.g., to apply the same transformation to training and test sets), or to be used at prediction time to stream data through.

It also provides a TransformTrainer which accepts a TransformationMap and an inner Trainer and produces a TransformedModel which automatically transforms it's input data at prediction time.