Interface SequenceTrainer<T extends Output<T>>

All Superinterfaces:
com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<TrainerProvenance>
All Known Implementing Classes:
CRFTrainer, HashingSequenceTrainer, TensorflowSequenceTrainer, ViterbiTrainer
public interface SequenceTrainer<T extends Output<T>> extends com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<TrainerProvenance>
An interface for things that can train sequence prediction models.

  • Method Summary

    Modifier and Type
    Method
    Description
    int
    getInvocationCount()
    Returns the number of times the train method has been invoked.
    default SequenceModel<T>
    train(SequenceDataset<T> examples)
    Trains a sequence prediction model using the examples in the given data set.
    SequenceModel<T>
    train(SequenceDataset<T> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance)
    Trains a sequence prediction model using the examples in the given data set.

    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 Details

    • train

      default SequenceModel<T> train(SequenceDataset<T> examples)
      Trains a sequence prediction model using the examples in the given data set.
      Parameters:
      examples - the data set containing the examples.
      Returns:
      a prediction model that can be used to predict values for new examples.

    • train

      SequenceModel<T> train(SequenceDataset<T> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance)
      Trains a sequence prediction model using the examples in the given data set.
      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

      int getInvocationCount()
      Returns the number of times the train method has been invoked.
      Returns:
      The number of times train has been invoked.