org.encog.ml.data.versatile.normalizers

Interface Normalizer

All Superinterfaces:

java.io.Serializable

All Known Implementing Classes:

IndexedNormalizer, OneOfNNormalizer, PassThroughNormalizer, RangeNormalizer, RangeOrdinal

public interface Normalizer
extends java.io.Serializable

The normalizer interface defines how to normalize a column. The source of the normalization can be either string or double.

Method Summary

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

Method Detail

outputSize

int outputSize(ColumnDefinition colDef)

Determine the normalized size of the specified column.

Parameters:

colDef - The column to check.

Returns:

The size of the column normalized.

normalizeColumn

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

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

Parameters:

colDef - The column that is being normalized.

value - The value to normalize.

outputData - The array to output to.

outputIndex - The index to start at in outputData.

Returns:

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

normalizeColumn

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

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

Parameters:

colDef - The column that is being normalized.

value - The value to normalize.

outputData - The array to output to.

outputIndex - The index to start at in outputData.

Returns:

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

denormalizeColumn

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

Denormalize a value.

Parameters:

colDef - The column to denormalize.

data - The data to denormalize.

dataIndex - The starting location inside data.

Returns:

The denormalized value.