Uses of Interface
org.tribuo.interop.tensorflow.OutputConverter

Packages that use OutputConverter

Package	Description
org.tribuo.interop.tensorflow	Provides an interface to TensorFlow, allowing the training of non-sequential models using any supported Tribuo output type.

Uses of OutputConverter in org.tribuo.interop.tensorflow

Classes in org.tribuo.interop.tensorflow that implement OutputConverter

Modifier and Type	Class	Description
class	LabelConverter	Can convert a Label into a Tensor containing one hot encoding of the label and can convert a TFloat16 or TFloat32 into a Prediction or a Label.
class	MultiLabelConverter	Can convert a MultiLabel into a Tensor containing a binary encoding of the label vector and can convert a TFloat16 or TFloat32 into a Prediction or a MultiLabel.
class	RegressorConverter	Can convert a Regressor to a TFloat32 vector and a TFloat32 into a Prediction or Regressor.

Fields in org.tribuo.interop.tensorflow declared as OutputConverter

Modifier and Type	Field	Description
protected final OutputConverter<T>	TensorFlowModel.outputConverter

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

Modifier and Type	Method	Description
static <T extends Output<T>> TensorFlowFrozenExternalModel<T>	TensorFlowFrozenExternalModel.createTensorflowModel(OutputFactory<T> factory, Map<String,Integer> featureMapping, Map<T,Integer> outputMapping, String inputName, String outputName, FeatureConverter featureConverter, OutputConverter<T> outputConverter, String filename)	Creates a TensorflowFrozenExternalModel by loading in a frozen graph.
static <T extends Output<T>> TensorFlowSavedModelExternalModel<T>	TensorFlowSavedModelExternalModel.createTensorflowModel(OutputFactory<T> factory, Map<String,Integer> featureMapping, Map<T,Integer> outputMapping, String outputName, FeatureConverter featureConverter, OutputConverter<T> outputConverter, String bundleDirectory)	Creates a TensorflowSavedModelExternalModel by loading in a SavedModelBundle.

Constructors in org.tribuo.interop.tensorflow with parameters of type OutputConverter

Modifier	Constructor	Description
protected	TensorFlowModel(String name, ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, org.tensorflow.proto.framework.GraphDef trainedGraphDef, int batchSize, String outputName, FeatureConverter featureConverter, OutputConverter<T> outputConverter)	Builds a TFModel.
	TensorFlowTrainer(Path graphPath, String outputName, GradientOptimiser optimiser, Map<String,Float> gradientParams, FeatureConverter featureConverter, OutputConverter<T> outputConverter, int trainBatchSize, int epochs, int testBatchSize, int loggingInterval)	Constructs a Trainer for a TensorFlow graph.
	TensorFlowTrainer(Path graphPath, String outputName, GradientOptimiser optimiser, Map<String,Float> gradientParams, FeatureConverter featureConverter, OutputConverter<T> outputConverter, int trainBatchSize, int epochs, int testBatchSize, int loggingInterval, Path checkpointPath)	Constructs a Trainer for a TensorFlow graph.
	TensorFlowTrainer(org.tensorflow.Graph graph, String outputName, GradientOptimiser optimiser, Map<String,Float> gradientParams, FeatureConverter featureConverter, OutputConverter<T> outputConverter, int trainBatchSize, int epochs, int testBatchSize, int loggingInterval)	Constructs a Trainer for a TensorFlow graph.
	TensorFlowTrainer(org.tensorflow.Graph graph, String outputName, GradientOptimiser optimiser, Map<String,Float> gradientParams, FeatureConverter featureConverter, OutputConverter<T> outputConverter, int trainBatchSize, int epochs, int testBatchSize, int loggingInterval, Path checkpointPath)	Constructs a Trainer for a TensorFlow graph.
	TensorFlowTrainer(org.tensorflow.proto.framework.GraphDef graphDef, String outputName, GradientOptimiser optimiser, Map<String,Float> gradientParams, FeatureConverter featureConverter, OutputConverter<T> outputConverter, int trainBatchSize, int epochs, int testBatchSize, int loggingInterval)	Constructs a Trainer for a TensorFlow graph.
	TensorFlowTrainer(org.tensorflow.proto.framework.GraphDef graphDef, String outputName, GradientOptimiser optimiser, Map<String,Float> gradientParams, FeatureConverter featureConverter, OutputConverter<T> outputConverter, int trainBatchSize, int epochs, int testBatchSize, int loggingInterval, Path checkpointPath)	Constructs a Trainer for a TensorFlow graph.