IDyadRankingFeatureTransformPLGradientFunction (jaicore-ml 0.1.6 API)

All Superinterfaces:

IGradientFunction

All Known Implementing Classes:

DyadRankingFeatureTransformNegativeLogLikelihoodDerivative
```
public interface IDyadRankingFeatureTransformPLGradientFunction
extends IGradientFunction
```
Represents a differentiable function in the context of dyad ranking based on feature transformation Placket-Luce models.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`void`	`initialize(DyadRankingDataset dataset, java.util.Map<IDyadRankingInstance,java.util.Map<Dyad,ai.libs.jaicore.math.linearalgebra.Vector>> featureTransforms)`	Initialize the function with the given data set and feature transformation method.

Methods inherited from interface ai.libs.jaicore.ml.core.optimizing.IGradientFunction
apply

- Method Detail
  - initialize
```
void initialize(DyadRankingDataset dataset,
                java.util.Map<IDyadRankingInstance,java.util.Map<Dyad,ai.libs.jaicore.math.linearalgebra.Vector>> featureTransforms)
```
    Initialize the function with the given data set and feature transformation method.
    
    Parameters:
    
    dataset - the dataset to use
    
    featureTransforms - the pre computed feature transformations