Uses of Class
org.tribuo.interop.tensorflow.TensorMap

Packages that use TensorMap

Package	Description
org.tribuo.interop.tensorflow	Provides an interface to TensorFlow, allowing the training of non-sequential models using any supported Tribuo output type.
org.tribuo.interop.tensorflow.sequence	Provides an interface for working with TensorFlow sequence models, using Tribuo's SequenceModel abstraction.

Uses of TensorMap in org.tribuo.interop.tensorflow

Methods in org.tribuo.interop.tensorflow that return TensorMap

Modifier and Type	Method and Description
TensorMap	ImageConverter.convert(Example<?> example, ImmutableFeatureMap featureIDMap) Transform implicitly pads unseen values with zero.
TensorMap	FeatureConverter.convert(Example<?> example, ImmutableFeatureMap featureIDMap) Converts an Example into a TensorMap suitable for supplying as an input to a graph.
TensorMap	DenseFeatureConverter.convert(Example<?> example, ImmutableFeatureMap featureIDMap)
TensorMap	ImageConverter.convert(List<? extends Example<?>> examples, ImmutableFeatureMap featureIDMap) Transform implicitly pads unseen values with zero.
TensorMap	FeatureConverter.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	DenseFeatureConverter.convert(List<? extends Example<?>> examples, ImmutableFeatureMap featureIDMap)
TensorMap	ImageConverter.convert(List<? extends SGDVector> vectors)
TensorMap	FeatureConverter.convert(List<? extends SGDVector> vectors) Converts a list of SGDVectors representing a batch of features into a TensorMap.
TensorMap	DenseFeatureConverter.convert(List<? extends SGDVector> vectors)
TensorMap	ImageConverter.convert(SGDVector vector)
TensorMap	FeatureConverter.convert(SGDVector vector) Converts a SGDVector representing the features into a TensorMap.
TensorMap	DenseFeatureConverter.convert(SGDVector vector)
protected TensorMap	TensorFlowSavedModelExternalModel.convertFeatures(SparseVector input)
protected TensorMap	TensorFlowFrozenExternalModel.convertFeatures(SparseVector input)
protected TensorMap	TensorFlowSavedModelExternalModel.convertFeaturesList(List<SparseVector> input)
protected TensorMap	TensorFlowFrozenExternalModel.convertFeaturesList(List<SparseVector> input)
protected TensorMap	TensorFlowSavedModelExternalModel.externalPrediction(TensorMap input) Runs the session to make a prediction.

Methods in org.tribuo.interop.tensorflow with parameters of type TensorMap

Modifier and Type	Method and Description
protected List<Prediction<T>>	TensorFlowSavedModelExternalModel.convertOutput(TensorMap output, int[] numValidFeatures, List<Example<T>> examples) Converts a tensor into a prediction.
protected Prediction<T>	TensorFlowSavedModelExternalModel.convertOutput(TensorMap output, int numValidFeatures, Example<T> example) Converts a tensor into a prediction.
protected TensorMap	TensorFlowSavedModelExternalModel.externalPrediction(TensorMap input) Runs the session to make a prediction.
protected org.tensorflow.Tensor	TensorFlowFrozenExternalModel.externalPrediction(TensorMap input) Runs the session to make a prediction.

Uses of TensorMap in org.tribuo.interop.tensorflow.sequence

Methods in org.tribuo.interop.tensorflow.sequence that return TensorMap

Modifier and Type	Method and Description
TensorMap	SequenceFeatureConverter.encode(List<? extends SequenceExample<?>> batch, ImmutableFeatureMap featureMap) Encodes a batch of examples as a feed dict.
TensorMap	SequenceOutputConverter.encode(List<SequenceExample<T>> batch, ImmutableOutputInfo<T> labelMap) Encodes a batch of labels as a feed dict.
TensorMap	SequenceFeatureConverter.encode(SequenceExample<?> example, ImmutableFeatureMap featureMap) Encodes an example as a feed dict.
TensorMap	SequenceOutputConverter.encode(SequenceExample<T> example, ImmutableOutputInfo<T> labelMap) Encodes an example's label as a feed dict.
protected TensorMap	TensorFlowSequenceTrainer.getHyperparameterFeed() Build any necessary non-data parameter tensors.