Package ai.libs.jaicore.ml.ranking.dyad.learner.optimizing

Interface IDyadRankingFeatureTransformPLGradientDescendableFunction

  • All Superinterfaces:
    ai.libs.jaicore.math.gradientdescent.IGradientDescendableFunction
    All Known Implementing Classes:
    DyadRankingFeatureTransformNegativeLogLikelihood
    public interface IDyadRankingFeatureTransformPLGradientDescendableFunction
extends ai.libs.jaicore.math.gradientdescent.IGradientDescendableFunction
    An interface for a differentiable function in the context of feature transformation Placket-Luce dyad ranking.

    • Method Summary

      All Methods Instance Methods Abstract Methods 
      Modifier and Type Method Description
      void initialize​(org.api4.java.ai.ml.ranking.dyad.dataset.IDyadRankingDataset dataset, java.util.Map<org.api4.java.ai.ml.ranking.dyad.dataset.IDyadRankingInstance,​java.util.Map<org.api4.java.ai.ml.ranking.dyad.dataset.IDyad,​org.api4.java.common.math.IVector>> featureTransform)
      Initializes the function with the given dataset.

      • Methods inherited from interface ai.libs.jaicore.math.gradientdescent.IGradientDescendableFunction

        apply

    • Method Detail

      • initialize

        void initialize​(org.api4.java.ai.ml.ranking.dyad.dataset.IDyadRankingDataset dataset,
                java.util.Map<org.api4.java.ai.ml.ranking.dyad.dataset.IDyadRankingInstance,​java.util.Map<org.api4.java.ai.ml.ranking.dyad.dataset.IDyad,​org.api4.java.common.math.IVector>> featureTransform)
        Initializes the function with the given dataset.
        Parameters:
        dataset - the dataset to use
        featureTransform - the feature precomputed feature transforms