org.tribuo.interop.tensorflow

Interface ExampleTransformer<T extends Output<T>>

All Superinterfaces:

com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>, Serializable

All Known Implementing Classes:

DenseTransformer, ImageTransformer

public interface ExampleTransformer<T extends Output<T>>
extends com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>, Serializable

TensorFlow support is experimental, and may change without a major version bump.

Transforms an Example, extracting the features from it as a Tensor.

This usually densifies the example, so can be a lot larger than the input example.

Method Summary

Modifier and Type	Method and Description
org.tensorflow.Tensor<?>	transform(Example<T> example, ImmutableFeatureMap featureIDMap) Converts an Example into a Tensor suitable for supplying as an input to a graph.
org.tensorflow.Tensor<?>	transform(List<Example<T>> example, ImmutableFeatureMap featureIDMap) Converts a batch of Examples into a single Tensor suitable for supplying as an input to a graph.
org.tensorflow.Tensor<?>	transform(List<SparseVector> vectors) Converts a list of SparseVectors representing a batch of features into a Tensor.
org.tensorflow.Tensor<?>	transform(SparseVector vector) Converts a SparseVector representing the features into a Tensor.

Methods inherited from interface com.oracle.labs.mlrg.olcut.config.Configurable

postConfig

Methods inherited from interface com.oracle.labs.mlrg.olcut.provenance.Provenancable

getProvenance

Method Detail

transform

org.tensorflow.Tensor<?> transform(Example<T> example,
                                   ImmutableFeatureMap featureIDMap)

Converts an Example into a Tensor suitable for supplying as an input to a graph.

It generates it as a single example minibatch.

Parameters:

example - The example to convert.

featureIDMap - The id map to convert feature names into id numbers.

Returns:

A dense Tensor representing this example.

transform

org.tensorflow.Tensor<?> transform(List<Example<T>> example,
                                   ImmutableFeatureMap featureIDMap)

Converts a batch of Examples into a single Tensor suitable for supplying as an input to a graph.

Parameters:

example - The examples to convert.

featureIDMap - THe id map to convert feature names into id numbers.

Returns:

A dense Tensor representing this minibatch.

transform

org.tensorflow.Tensor<?> transform(SparseVector vector)

Converts a SparseVector representing the features into a Tensor.

It generates it as a single example minibatch.

Parameters:

vector - The features to convert.

Returns:

A dense Tensor representing this vector.

transform

org.tensorflow.Tensor<?> transform(List<SparseVector> vectors)

Converts a list of SparseVectors representing a batch of features into a Tensor.

Parameters:

vectors - The batch of features to convert.

Returns:

A dense Tensor representing this minibatch.