magpie.data.utilities.normalizers

Class IndependentVariableNormalizer

java.lang.Object

magpie.data.utilities.normalizers.BaseDatasetNormalizer

magpie.data.utilities.normalizers.IndependentVariableNormalizer

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, Commandable, Options, Printable

Direct Known Subclasses:

RescalingNormalizer, ZScoreNormalizer

public abstract class IndependentVariableNormalizer
extends BaseDatasetNormalizer

Base class for normalizers that treat attributes/class independently. Implementations must supply the following functions:

1. computeAttributeStatistics(int, double[])
2. normalizeAttributes(double[])
3. restoreAttributes(double[])

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
IndependentVariableNormalizer()

Method Summary

Modifier and Type	Method and Description
protected abstract void	computeAttributeStatistics(int attributeNumber, double[] values) Compute statistics required to perform normalization/restoration.
protected abstract void	computeClassStatistics(double[] values) Compute statistics regarding the class variable.
protected void	normalizeAttributes(Dataset Data) Perform the actual normalization on the attributes
protected abstract void	normalizeAttributes(double[] attributes) Normalize each attribute for an entry
protected void	normalizeClassVariable(Dataset Data) Perform the actual normalization on the class variable.
protected abstract double	normalizeClassVariable(double value) Normalize a class variable
protected abstract void	prepareAttributeArrays(int NAttributes) Prepare arrays that will hold attribute statistics.
protected void	restoreAttributes(Dataset Data) Perform the actual restoration on the attributes
protected abstract void	restoreAttributes(double[] attributes) Restore each attribute for an entry
protected void	restoreClassVariable(Dataset Data) Perform the actual restoration on the class variables (measured and predicted!)
protected abstract double	restoreClassVariable(double value) Restore a class variable
protected void	trainOnAttributes(Dataset Data) Perform the actual training work for attributes.
protected void	trainOnMeasuredClass(Dataset Data) Perform the actual training work for the class variable.

Methods inherited from class magpie.data.utilities.normalizers.BaseDatasetNormalizer

about, clone, isTrained, normalize, printCommand, printDescription, restore, runCommand, setToNormalizeAttributes, setToNormalizeClass, test, train, willNormalizeAttributes, willNormalizeClass

Methods inherited from class java.lang.Object

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

Methods inherited from interface magpie.utility.interfaces.Options

printUsage, setOptions

Constructor Detail

IndependentVariableNormalizer

public IndependentVariableNormalizer()

Method Detail

trainOnAttributes

protected void trainOnAttributes(Dataset Data)

Description copied from class: BaseDatasetNormalizer

Perform the actual training work for attributes. Must establish the parameters necessary to normalize attributes and return them to their original range.

Specified by:

trainOnAttributes in class BaseDatasetNormalizer

Parameters:

Data - Training set

trainOnMeasuredClass

protected void trainOnMeasuredClass(Dataset Data)

Description copied from class: BaseDatasetNormalizer

Perform the actual training work for the class variable. Must establish the parameters necessary to normalize attributes and return them to their original range.

NOTE: Use the measured class variable to train normalizer.

Specified by:

trainOnMeasuredClass in class BaseDatasetNormalizer

Parameters:

Data - Training set

prepareAttributeArrays

protected abstract void prepareAttributeArrays(int NAttributes)

Prepare arrays that will hold attribute statistics.

Parameters:

NAttributes -

computeAttributeStatistics

protected abstract void computeAttributeStatistics(int attributeNumber,
                                                   double[] values)

Compute statistics required to perform normalization/restoration.

Parameters:

attributeNumber - Attribute number

values -

computeClassStatistics

protected abstract void computeClassStatistics(double[] values)

Compute statistics regarding the class variable.

Parameters:

values - Measured values of the class variable

normalizeAttributes

protected void normalizeAttributes(Dataset Data)

Description copied from class: BaseDatasetNormalizer

Perform the actual normalization on the attributes

Specified by:

normalizeAttributes in class BaseDatasetNormalizer

Parameters:

Data - Dataset to be transformed

normalizeClassVariable

protected void normalizeClassVariable(Dataset Data)

Description copied from class: BaseDatasetNormalizer

Perform the actual normalization on the class variable. Predicted and measured class variables must be transformed the same way

Specified by:

normalizeClassVariable in class BaseDatasetNormalizer

Parameters:

Data - Dataset to be transformed

normalizeAttributes

protected abstract void normalizeAttributes(double[] attributes)

Normalize each attribute for an entry

Parameters:

attributes - Attributes to be normalized

normalizeClassVariable

protected abstract double normalizeClassVariable(double value)

Normalize a class variable

Parameters:

value - Value of class variable

Returns:

Normalized value

restoreAttributes

protected void restoreAttributes(Dataset Data)

Description copied from class: BaseDatasetNormalizer

Perform the actual restoration on the attributes

Specified by:

restoreAttributes in class BaseDatasetNormalizer

Parameters:

Data - Dataset to be transformed

restoreClassVariable

protected void restoreClassVariable(Dataset Data)

Description copied from class: BaseDatasetNormalizer

Perform the actual restoration on the class variables (measured and predicted!)

Specified by:

restoreClassVariable in class BaseDatasetNormalizer

Parameters:

Data - Dataset to be transformed

restoreAttributes

protected abstract void restoreAttributes(double[] attributes)

Restore each attribute for an entry

Parameters:

attributes - Normalized attributes to be restored

restoreClassVariable

protected abstract double restoreClassVariable(double value)

Restore a class variable

Parameters:

value - Normalized value of class variable

Returns:

Original value