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

Packages that use TensorFlowModel

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 TensorFlowModel in org.tribuo.interop.tensorflow

Subclasses of TensorFlowModel in org.tribuo.interop.tensorflow

Modifier and Type	Class	Description
final class	TensorFlowCheckpointModel<T extends Output<T>>	This model encapsulates a simple model with an input feed dict, and produces a single output tensor.
final class	TensorFlowNativeModel<T extends Output<T>>	This model encapsulates a TensorFlow model running in graph mode with a single tensor output.

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

Modifier and Type	Method	Description
TensorFlowModel<T>	TensorFlowTrainer.train(Dataset<T> examples)
TensorFlowModel<T>	TensorFlowTrainer.train(Dataset<T> examples, Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance)
TensorFlowModel<T>	TensorFlowTrainer.train(Dataset<T> examples, Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance, int invocationCount)