Interface EnsembleCombiner<T extends Output<T>>

All Superinterfaces:
com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>, Serializable
All Known Implementing Classes:
AveragingCombiner, FullyWeightedVotingCombiner, MultiLabelVotingCombiner, VotingCombiner
public interface EnsembleCombiner<T extends Output<T>> extends com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>, Serializable
An interface for combining predictions. Implementations should be final and immutable.

  • Method Details

    • combine

      Prediction<T> combine(ImmutableOutputInfo<T> outputInfo, List<Prediction<T>> predictions)
      Combine the predictions.
      Parameters:
      outputInfo - The output domain.
      predictions - The predictions to combine.
      Returns:
      The ensemble prediction.

    • combine

      Prediction<T> combine(ImmutableOutputInfo<T> outputInfo, List<Prediction<T>> predictions, float[] weights)
      Combine the supplied predictions. predictions.size() must equal weights.length.
      Parameters:
      outputInfo - The output domain.
      predictions - The predictions to combine.
      weights - The weights to use for each prediction.
      Returns:
      The ensemble prediction.

    • exportCombiner

      default ONNXNode exportCombiner(ONNXNode input)
      Exports this ensemble combiner into the ONNX context of its input.

      The input should be a 3-tensor [batch_size, num_outputs, num_ensemble_members].

      For compatibility reasons this method has a default implementation, though when called it will throw an IllegalStateException. In a future version this method will not have a default implementation and ensemble combiners will be required to provide ONNX support.

      Parameters:
      input - the node to be ensembled according to this implementation.
      Returns:
      The leaf node of the graph of operations added to ensemble input.

    • exportCombiner

      default <U extends ONNXRef<?>> ONNXNode exportCombiner(ONNXNode input, U weight)
      Exports this ensemble combiner into the ONNX context of its input.

      The input should be a 3-tensor [batch_size, num_outputs, num_ensemble_members].

      For compatibility reasons this method has a default implementation, though when called it will throw an IllegalStateException. In a future version this method will not have a default implementation and ensemble combiners will be required to provide ONNX support.

      Type Parameters:
      U - The type of the weights input reference.
      Parameters:
      input - the node to be ensembled according to this implementation.
      weight - The node of weights for ensembling.
      Returns:
      The leaf node of the graph of operations added to ensemble input.