org.tribuo.interop.tensorflow

Interface FeatureConverter

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:

DenseFeatureConverter, ImageConverter

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

Transforms an Example or SGDVector, extracting the features from it as a TensorMap.

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

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

Method Summary

Modifier and Type	Method and Description
TensorMap	convert(Example<?> example, ImmutableFeatureMap featureIDMap) Converts an Example into a TensorMap suitable for supplying as an input to a graph.
TensorMap	convert(List<? extends Example<?>> example, ImmutableFeatureMap featureIDMap) Converts a batch of Examples into a single TensorMap suitable for supplying as an input to a graph.
TensorMap	convert(List<? extends SGDVector> vectors) Converts a list of SGDVectors representing a batch of features into a TensorMap.
TensorMap	convert(SGDVector vector) Converts a SGDVector representing the features into a TensorMap.
Set<String>	inputNamesSet() Gets a view of the names of the inputs this converter produces.

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

convert

TensorMap convert(Example<?> example,
                  ImmutableFeatureMap featureIDMap)

Converts an Example into a TensorMap 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 TensorMap (similar to a TF Python feed_dict) representing the features in this example.

convert

TensorMap convert(List<? extends Example<?>> example,
                  ImmutableFeatureMap featureIDMap)

Converts a batch of Examples into a single TensorMap 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 TensorMap (similar to a TF Python feed_dict) representing the features in this minibatch.

convert

TensorMap convert(SGDVector vector)

Converts a SGDVector representing the features into a TensorMap.

It generates it as a single example minibatch.

Parameters:

vector - The features to convert.

Returns:

A TensorMap (similar to a TF Python feed_dict) representing this vector.

convert

TensorMap convert(List<? extends SGDVector> vectors)

Converts a list of SGDVectors representing a batch of features into a TensorMap.

Parameters:

vectors - The batch of features to convert.

Returns:

A TensorMap (similar to a TF Python feed_dict) representing this minibatch.

inputNamesSet

Set<String> inputNamesSet()

Gets a view of the names of the inputs this converter produces.

Returns:

The input names.