DyadRankingFeatureTransformNegativeLogLikelihoodDerivative (jaicore-ml 0.2.5 API)

java.lang.Object
- ai.libs.jaicore.ml.ranking.dyad.learner.optimizing.DyadRankingFeatureTransformNegativeLogLikelihoodDerivative

All Implemented Interfaces:

ai.libs.jaicore.math.gradientdescent.IGradientFunction, IDyadRankingFeatureTransformPLGradientFunction
```
public class DyadRankingFeatureTransformNegativeLogLikelihoodDerivative
extends java.lang.Object
implements IDyadRankingFeatureTransformPLGradientFunction
```
Represents the derivate of the negative log likelihood function in the context of feature transformation Placket-Luce dyad ranking [1]. This implementation can be used for the partial derivatives of the linear vector w w.r.t. the negative log-likelihood that should be minimized. [1] SchÃ¤fer, D. & HÃ¼llermeier, Dyad ranking using Plackettâ€“Luce models based on joint feature representations, https://link.springer.com/article/10.1007%2Fs10994-017-5694-9

Constructor Summary

Constructors
Constructor Description

DyadRankingFeatureTransformNegativeLogLikelihoodDerivative()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`org.api4.java.common.math.IVector`	`apply(org.api4.java.common.math.IVector vector)`
`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>> featureTransforms)`	Initialize the function with the given data set and feature transformation method.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - DyadRankingFeatureTransformNegativeLogLikelihoodDerivative
```
public DyadRankingFeatureTransformNegativeLogLikelihoodDerivative()
```
- Method Detail
  - initialize
```
public 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>> featureTransforms)
```
    Description copied from interface: IDyadRankingFeatureTransformPLGradientFunction
    
    Initialize the function with the given data set and feature transformation method.
    
    Specified by:
    
    initialize in interface IDyadRankingFeatureTransformPLGradientFunction
    
    Parameters:
    
    dataset - the dataset to use
    
    featureTransforms - the pre computed feature transformations
  - apply
```
public org.api4.java.common.math.IVector apply(org.api4.java.common.math.IVector vector)
```
    Specified by:
    
    apply in interface ai.libs.jaicore.math.gradientdescent.IGradientFunction