org.ai_heuristic.data

Class LearningData

java.lang.Object

org.ai_heuristic.data.LearningData

All Implemented Interfaces:

LearningDataModel

public class LearningData
extends java.lang.Object
implements LearningDataModel

Updated version of the source code for the kohonen self-organising map at http://jknnl.sourceforge.net/ This version can be used with other algorithms as well, to read a basic data file. Some classes or packages may have been moved or changed. See above for the copyright notices.

Author:

Kieran Greer.

Field Summary

Fields

Modifier and Type	Field and Description
protected java.util.ArrayList	dataKeys ArrayList contains node or data key names.
protected java.util.ArrayList	dataList ArrayList contains learning data

Constructor Summary

Constructors

Constructor and Description
LearningData(java.util.ArrayList dataSets) Creates a new instance of LearningData.
LearningData(java.lang.String fileName, java.lang.String separator) Creates a new instance of LearningData.

Method Summary

Modifier and Type	Method and Description
double[]	getData(int index) Return a data row as a double array.
java.lang.String	getDataKey(int index) Return the unique keys for the specified data row.
java.util.ArrayList	getDataKeys() Return the list of unique keys, one for each data row.
java.util.ArrayList	getDataset() Return the full dataset.
int	getDataSize() Return numbers of data
int	getVectorSize() Return length of the vector
java.lang.String	toString() Return a string representation of the data.

Methods inherited from class java.lang.Object

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

Field Detail

dataKeys

protected java.util.ArrayList dataKeys

ArrayList contains node or data key names.

dataList

protected java.util.ArrayList dataList

ArrayList contains learning data

Constructor Detail

LearningData

public LearningData(java.util.ArrayList dataSets)
             throws java.lang.Exception

Creates a new instance of LearningData. The data is read from a dataset.

Parameters:

dataSets - the data to read as lists of key-value pair Hashtables. Each nodes therefore stores a keyed data value to other nodes and the input must be constant this way at the moment. The key defines the relating node name and value is a single data value, that should currently be of type double. The value are then made into a data row and stored in the knn dataset, where the first time a list is read, the node names are also stored, so that a new set of data can be added in the same order.

Throws:

java.lang.Exception - any error.

LearningData

public LearningData(java.lang.String fileName,
                    java.lang.String separator)
             throws java.lang.Exception

Creates a new instance of LearningData. Import data from file. The format is rows of double values, separated by the separator symbol (e.g. comma ,).

Parameters:

fileName - path to the file with data

separator - the data value separator.

Throws:

java.lang.Exception - any error.

Method Detail

getDataKeys

public java.util.ArrayList getDataKeys()

Return the list of unique keys, one for each data row.

Specified by:

getDataKeys in interface LearningDataModel

Returns:

the value of dataKeys.

getDataKey

public java.lang.String getDataKey(int index)

Return the unique keys for the specified data row.

Specified by:

getDataKey in interface LearningDataModel

Parameters:

index - the row index, starting at 0.

Returns:

the key for the index row.

getDataset

public java.util.ArrayList getDataset()

Return the full dataset.

Specified by:

getDataset in interface LearningDataModel

Returns:

the value of dataList.

getData

public double[] getData(int index)

Return a data row as a double array.

Specified by:

getData in interface LearningDataModel

Parameters:

index - the row index, starting at 0.

Returns:

an double[] for the specified data row.

toString

public java.lang.String toString()

Return a string representation of the data. [value, value, ... ]

Specified by:

toString in interface LearningDataModel

Overrides:

toString in class java.lang.Object

Returns:

string representation of the data

getDataSize

public int getDataSize()

Return numbers of data

Specified by:

getDataSize in interface LearningDataModel

Returns:

numbers of data

getVectorSize

public int getVectorSize()

Return length of the vector

Returns:

Return length of the vector