org.encog.ml.data.versatile.normalizers

Class OneOfNNormalizer

java.lang.Object

org.encog.ml.data.versatile.normalizers.OneOfNNormalizer

All Implemented Interfaces:

java.io.Serializable, Normalizer

public class OneOfNNormalizer
extends java.lang.Object
implements Normalizer

Normalize to one-of-n for nominal values. For example, "one", "two", "three" becomes 1,0,0 and 0,1,0 and 0,0,1 etc. Assuming 0 and 1 were the min/max.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
OneOfNNormalizer(double theNormalizedLow, double theNormalizedHigh) Construct the normalizer.

Method Summary

Modifier and Type	Method and Description
java.lang.String	denormalizeColumn(ColumnDefinition colDef, MLData data, int dataColumn) Denormalize a value.
boolean	equals(java.lang.Object obj)
int	normalizeColumn(ColumnDefinition colDef, double value, double[] outputData, int outputColumn) Normalize a column from a double.
int	normalizeColumn(ColumnDefinition colDef, java.lang.String value, double[] outputData, int outputColumn) Normalize a column from a string.
int	outputSize(ColumnDefinition colDef) Determine the normalized size of the specified column.

Methods inherited from class java.lang.Object

getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

OneOfNNormalizer

public OneOfNNormalizer(double theNormalizedLow,
                        double theNormalizedHigh)

Construct the normalizer.

Parameters:

theNormalizedLow - The normalized low.

theNormalizedHigh - The normalized high.

Method Detail

equals

public boolean equals(java.lang.Object obj)

Overrides:

equals in class java.lang.Object

outputSize

public int outputSize(ColumnDefinition colDef)

Determine the normalized size of the specified column.

Specified by:

outputSize in interface Normalizer

Parameters:

colDef - The column to check.

Returns:

The size of the column normalized.

normalizeColumn

public int normalizeColumn(ColumnDefinition colDef,
                           java.lang.String value,
                           double[] outputData,
                           int outputColumn)

Normalize a column from a string. The output will go to an array, starting at outputColumn.

Specified by:

normalizeColumn in interface Normalizer

Parameters:

colDef - The column that is being normalized.

value - The value to normalize.

outputData - The array to output to.

outputColumn - The index to start at in outputData.

Returns:

The new index (in outputData) that we've moved to.

denormalizeColumn

public java.lang.String denormalizeColumn(ColumnDefinition colDef,
                                          MLData data,
                                          int dataColumn)

Denormalize a value.

Specified by:

denormalizeColumn in interface Normalizer

Parameters:

colDef - The column to denormalize.

data - The data to denormalize.

dataColumn - The starting location inside data.

Returns:

The denormalized value.

normalizeColumn

public int normalizeColumn(ColumnDefinition colDef,
                           double value,
                           double[] outputData,
                           int outputColumn)

Normalize a column from a double. The output will go to an array, starting at outputColumn.

Specified by:

normalizeColumn in interface Normalizer

Parameters:

colDef - The column that is being normalized.

value - The value to normalize.

outputData - The array to output to.

outputColumn - The index to start at in outputData.

Returns:

The new index (in outputData) that we've moved to.