org.encog.ml.data.basic

Class BasicMLSequenceSet

java.lang.Object

org.encog.ml.data.basic.BasicMLSequenceSet

All Implemented Interfaces:

java.io.Serializable, java.lang.Iterable<MLDataPair>, MLDataSet, MLSequenceSet

public class BasicMLSequenceSet
extends java.lang.Object
implements java.io.Serializable, MLSequenceSet

A basic implementation of the MLSequenceSet.

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	BasicMLSequenceSet.BasicMLSeqIterator An iterator to be used with the BasicMLDataSet.

Constructor Summary

Constructors

Constructor and Description
BasicMLSequenceSet() Default constructor.
BasicMLSequenceSet(BasicMLSequenceSet other)
BasicMLSequenceSet(double[][] input, double[][] ideal) Construct a data set from an input and ideal array.
BasicMLSequenceSet(java.util.List<MLDataPair> theData) Construct a data set from an already created list.
BasicMLSequenceSet(MLDataSet set) Copy whatever dataset type is specified into a memory dataset.

Method Summary

Modifier and Type	Method and Description
void	add(MLData theData) Add a object to the dataset.
void	add(MLData inputData, MLData idealData) Add a set of input and ideal data to the dataset.
void	add(MLDataPair inputData) Add a an object to the dataset.
void	add(MLDataSet sequence) Add a new sequence.
java.lang.Object	clone()
void	close() Close this datasource and release any resources obtained by it, including any iterators created.
MLDataPair	get(int index)
int	getIdealSize()
int	getInputSize()
void	getRecord(long index, MLDataPair pair) Read an individual record, specified by index, in random order.
long	getRecordCount() Determine the total number of records in the set.
MLDataSet	getSequence(int i) Get an individual sequence.
int	getSequenceCount()
java.util.Collection<MLDataSet>	getSequences()
boolean	isSupervised()
java.util.Iterator<MLDataPair>	iterator()
MLDataSet	openAdditional() Opens an additional instance of this dataset.
int	size()
void	startNewSequence() Cause a "break" in the data by creating a the beginning of a new sequence.

Methods inherited from class java.lang.Object

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

Methods inherited from interface java.lang.Iterable

forEach, spliterator

Constructor Detail

BasicMLSequenceSet

public BasicMLSequenceSet()

Default constructor.

BasicMLSequenceSet

public BasicMLSequenceSet(BasicMLSequenceSet other)

BasicMLSequenceSet

public BasicMLSequenceSet(double[][] input,
                          double[][] ideal)

Construct a data set from an input and ideal array.

Parameters:

input - The input into the machine learning method for training.

ideal - The ideal output for training.

BasicMLSequenceSet

public BasicMLSequenceSet(java.util.List<MLDataPair> theData)

Construct a data set from an already created list. Mostly used to duplicate this class.

Parameters:

theData - The data to use.

BasicMLSequenceSet

public BasicMLSequenceSet(MLDataSet set)

Copy whatever dataset type is specified into a memory dataset.

Parameters:

set - The dataset to copy.

Method Detail

add

public void add(MLData theData)

Add a object to the dataset. This is used with unsupervised training, as no ideal output is provided. Note: not all implemenations support the add methods.

Specified by:

add in interface MLDataSet

Parameters:

theData - The data item to be added.

add

public void add(MLData inputData,
                MLData idealData)

Add a set of input and ideal data to the dataset. This is used with supervised training, as ideal output is provided. Note: not all implementations support the add methods.

Specified by:

add in interface MLDataSet

Parameters:

inputData - Input data.

idealData - Ideal data.

add

public void add(MLDataPair inputData)

Add a an object to the dataset. This is used with unsupervised training, as no ideal output is provided. Note: not all implementations support the add methods.

Specified by:

add in interface MLDataSet

Parameters:

inputData - A MLDataPair object that contains both input and ideal data.

clone

public java.lang.Object clone()

Overrides:

clone in class java.lang.Object

close

public void close()

Close this datasource and release any resources obtained by it, including any iterators created.

Specified by:

close in interface MLDataSet

getIdealSize

public int getIdealSize()

Specified by:

getIdealSize in interface MLDataSet

Returns:

The size of the ideal data.

getInputSize

public int getInputSize()

Specified by:

getInputSize in interface MLDataSet

Returns:

The size of the input data.

getRecord

public void getRecord(long index,
                      MLDataPair pair)

Read an individual record, specified by index, in random order.

Specified by:

getRecord in interface MLDataSet

Parameters:

index - The index to read.

pair - The pair that the record will be copied into.

getRecordCount

public long getRecordCount()

Determine the total number of records in the set.

Specified by:

getRecordCount in interface MLDataSet

Returns:

The total number of records in the set.

isSupervised

public boolean isSupervised()

Specified by:

isSupervised in interface MLDataSet

Returns:

True if this is a supervised training set.

iterator

public java.util.Iterator<MLDataPair> iterator()

Specified by:

iterator in interface java.lang.Iterable<MLDataPair>

openAdditional

public MLDataSet openAdditional()

Opens an additional instance of this dataset.

Specified by:

openAdditional in interface MLDataSet

Returns:

The new instance.

startNewSequence

public void startNewSequence()

Description copied from interface: MLSequenceSet

Cause a "break" in the data by creating a the beginning of a new sequence.

Specified by:

startNewSequence in interface MLSequenceSet

getSequenceCount

public int getSequenceCount()

Specified by:

getSequenceCount in interface MLSequenceSet

Returns:

Get a count of the number of sequences.

getSequence

public MLDataSet getSequence(int i)

Description copied from interface: MLSequenceSet

Get an individual sequence.

Specified by:

getSequence in interface MLSequenceSet

Parameters:

i - The index of the sequence.

Returns:

The sequence.

getSequences

public java.util.Collection<MLDataSet> getSequences()

Specified by:

getSequences in interface MLSequenceSet

Returns:

A list of all of the sequences.

size

public int size()

Specified by:

size in interface MLDataSet

get

public MLDataPair get(int index)

Specified by:

get in interface MLDataSet

add

public void add(MLDataSet sequence)

Description copied from interface: MLSequenceSet

Add a new sequence.

Specified by:

add in interface MLSequenceSet

Parameters:

sequence - The sequence to add.