Class TensorflowCheckpointTrainer<T extends Output<T>>

java.lang.Object
org.tribuo.interop.tensorflow.TensorflowCheckpointTrainer<T>
All Implemented Interfaces:
com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<TrainerProvenance>, Trainer<T>

public final class TensorflowCheckpointTrainer<T extends Output<T>> extends Object implements Trainer<T>
Trainer for Tensorflow. Expects the underlying Tensorflow graph to have specific placeholders and targets listed below. This trainer only works with graphs setup for minibatches. To recover single example training just use a batch size of 1.

This trainer uses the native Tensorflow serialisation functionality and saves to a checkpoint on disk. It's much more fragile than the TensorflowTrainer.

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

  • Field Details

  • Constructor Details

    • TensorflowCheckpointTrainer

      public TensorflowCheckpointTrainer(Path graphPath, Path checkpointRootPath, ExampleTransformer<T> exampleTransformer, OutputTransformer<T> outputTransformer, int minibatchSize, int epochs) throws IOException
      Builds a trainer using the supplied graph and arguments.
      Parameters:
      graphPath - The graph to load.
      checkpointRootPath - The checkpoint path to save to.
      exampleTransformer - The feature transformer.
      outputTransformer - The output transformer.
      minibatchSize - The training batch size.
      epochs - The number of training epochs.
      Throws:
      IOException - If the graph failed to load.
  • Method Details

    • postConfig

      public void postConfig() throws IOException
      Used by the OLCUT configuration system, and should not be called by external code.
      Specified by:
      postConfig in interface com.oracle.labs.mlrg.olcut.config.Configurable
      Throws:
      IOException
    • train

      public Model<T> train(Dataset<T> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance)
      Description copied from interface: Trainer
      Trains a predictive model using the examples in the given data set.
      Specified by:
      train in interface Trainer<T extends Output<T>>
      Parameters:
      examples - the data set containing the examples.
      runProvenance - Training run specific provenance (e.g., fold number).
      Returns:
      a predictive model that can be used to generate predictions for new examples.
    • getInvocationCount

      public int getInvocationCount()
      Description copied from interface: Trainer
      The number of times this trainer instance has had it's train method invoked.

      This is used to determine how many times the trainer's RNG has been accessed to ensure replicability in the random number stream.

      Specified by:
      getInvocationCount in interface Trainer<T extends Output<T>>
      Returns:
      The number of train invocations.
    • toString

      public String toString()
      Overrides:
      toString in class Object
    • getProvenance

      Specified by:
      getProvenance in interface com.oracle.labs.mlrg.olcut.provenance.Provenancable<T extends Output<T>>