ai.libs.jaicore.ml.dyadranking.util

Class DyadStandardScaler

java.lang.Object

ai.libs.jaicore.ml.dyadranking.util.AbstractDyadScaler

ai.libs.jaicore.ml.dyadranking.util.DyadStandardScaler

All Implemented Interfaces:

java.io.Serializable

public class DyadStandardScaler
extends AbstractDyadScaler

A scaler that can be fit to a certain dataset and then be used to standardize datasets, i.e. transform the data to have a mean of 0 and a standard deviation of 1 according to the data it was fit to.

See Also:

Serialized Form

Field Summary

Fields inherited from class ai.libs.jaicore.ml.dyadranking.util.AbstractDyadScaler

statsX, statsY

Constructor Summary

Constructors

Constructor and Description
DyadStandardScaler()

Method Summary

Modifier and Type	Method and Description
void	transformAlternatives(Dyad dyad, java.util.List<java.lang.Integer> ignoredIndices) Transforms only the alternatives of each dyad according to the mean and standard deviation of the data the scaler has been fit to.
void	transformInstaceVector(ai.libs.jaicore.math.linearalgebra.Vector vector, java.util.List<java.lang.Integer> ignoredIndices) Transforms an instance feature vector.
void	transformInstances(Dyad dyad, java.util.List<java.lang.Integer> ignoredIndices) Transforms only the instances of each dyad according to the mean and standard deviation of the data the scaler has been fit to.

Methods inherited from class ai.libs.jaicore.ml.dyadranking.util.AbstractDyadScaler

fit, fitTransform, getPrettyMeansString, getPrettySTDString, getStatsX, getStatsY, transform, transformAlternatives, transformAlternatives, transformAlternatives, transformInstances, transformInstances, transformInstances, transformInstances

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

DyadStandardScaler

public DyadStandardScaler()

Method Detail

transformInstances

public void transformInstances(Dyad dyad,
                               java.util.List<java.lang.Integer> ignoredIndices)

Description copied from class: AbstractDyadScaler

Transforms only the instances of each dyad according to the mean and standard deviation of the data the scaler has been fit to. The attributes with indices contained in ignoredIndices are not transformed. {

Specified by:

transformInstances in class AbstractDyadScaler

ignoredIndices - The List of indices that are been ignored by the scaler.

transformAlternatives

public void transformAlternatives(Dyad dyad,
                                  java.util.List<java.lang.Integer> ignoredIndices)

Description copied from class: AbstractDyadScaler

Transforms only the alternatives of each dyad according to the mean and standard deviation of the data the scaler has been fit to.

Specified by:

transformAlternatives in class AbstractDyadScaler

ignoredIndices - The List of indices that are been ignored by the scaler.

transformInstaceVector

public void transformInstaceVector(ai.libs.jaicore.math.linearalgebra.Vector vector,
                                   java.util.List<java.lang.Integer> ignoredIndices)

Description copied from class: AbstractDyadScaler

Transforms an instance feature vector.

Specified by:

transformInstaceVector in class AbstractDyadScaler