Package ai.libs.jaicore.ml.dyadranking.util

Class DyadUnitIntervalScaler

java.lang.Object

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

ai.libs.jaicore.ml.dyadranking.util.DyadUnitIntervalScaler

All Implemented Interfaces:

java.io.Serializable

public class DyadUnitIntervalScaler
extends AbstractDyadScaler

A scaler that can be fit to a certain dataset and then be used to normalize datasets, i.e. transform the data to have a length of 1.

See Also:

Serialized Form

Field Summary

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

statsX, statsY

Constructor Summary

Constructors

Constructor	Description
DyadUnitIntervalScaler()

Method Summary

Modifier and Type	Method	Description
void	fit(DyadRankingDataset dataset)	Fits the standard scaler to the dataset.
void	transformAlternatives(DyadRankingDataset dataset, java.util.List<java.lang.Integer> ignoredIndices)	Transforms only the alternatives of each dyad in a DyadRankingDataset according to the mean and standard deviation of the data the scaler has been fit to.
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(DyadRankingDataset dataset, java.util.List<java.lang.Integer> ignoredIndices)	Transforms only the instances of each dyad in a DyadRankingDataset according to the mean and standard deviation of the data the scaler has been fit to.
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

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

Methods inherited from class java.lang.Object

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

Constructor Detail

DyadUnitIntervalScaler

public DyadUnitIntervalScaler()

Method Detail

fit

public void fit(DyadRankingDataset dataset)

Description copied from class: AbstractDyadScaler

Fits the standard scaler to the dataset.

Overrides:

fit in class AbstractDyadScaler

Parameters:

dataset - The dataset the scaler should be fit to.

transformInstances

public void transformInstances(DyadRankingDataset dataset,
                               java.util.List<java.lang.Integer> ignoredIndices)

Description copied from class: AbstractDyadScaler

Transforms only the instances of each dyad in a DyadRankingDataset 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. {

Overrides:

transformInstances in class AbstractDyadScaler

Parameters:

dataset - The dataset of which the alternatives are to be standardized.

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

transformAlternatives

public void transformAlternatives(DyadRankingDataset dataset,
                                  java.util.List<java.lang.Integer> ignoredIndices)

Description copied from class: AbstractDyadScaler

Transforms only the alternatives of each dyad in a DyadRankingDataset 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. {

Overrides:

transformAlternatives in class AbstractDyadScaler

Parameters:

dataset - The dataset of which the alternatives are to be standardized.

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

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.