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java.lang.Objectorg.encog.ml.data.basic.BasicMLSequenceSet
public class BasicMLSequenceSet
A basic implementation of the MLSequenceSet.
Nested Class Summary | |
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class |
BasicMLSequenceSet.BasicMLSeqIterator
An iterator to be used with the BasicMLDataSet. |
Constructor Summary | |
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BasicMLSequenceSet()
Default constructor. |
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BasicMLSequenceSet(BasicMLSequenceSet other)
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BasicMLSequenceSet(double[][] input,
double[][] ideal)
Construct a data set from an input and ideal array. |
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BasicMLSequenceSet(List<MLDataPair> theData)
Construct a data set from an already created list. |
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BasicMLSequenceSet(MLDataSet set)
Copy whatever dataset type is specified into a memory dataset. |
Method Summary | |
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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. |
Object |
clone()
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void |
close()
Close this datasource and release any resources obtained by it, including any iterators created. |
MLDataPair |
get(int index)
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int |
getIdealSize()
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int |
getInputSize()
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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()
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Collection<MLDataSet> |
getSequences()
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boolean |
isSupervised()
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Iterator<MLDataPair> |
iterator()
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MLDataSet |
openAdditional()
Opens an additional instance of this dataset. |
int |
size()
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void |
startNewSequence()
Cause a "break" in the data by creating a the beginning of a new sequence. |
Methods inherited from class java.lang.Object |
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equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public BasicMLSequenceSet()
public BasicMLSequenceSet(BasicMLSequenceSet other)
public BasicMLSequenceSet(double[][] input, double[][] ideal)
input
- The input into the machine learning method for training.ideal
- The ideal output for training.public BasicMLSequenceSet(List<MLDataPair> theData)
theData
- The data to use.public BasicMLSequenceSet(MLDataSet set)
set
- The dataset to copy.Method Detail |
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public void add(MLData theData)
add
in interface MLDataSet
theData
- The data item to be added.public void add(MLData inputData, MLData idealData)
add
in interface MLDataSet
inputData
- Input data.idealData
- Ideal data.public void add(MLDataPair inputData)
add
in interface MLDataSet
inputData
- A MLDataPair object that contains both input and ideal data.public Object clone()
clone
in class Object
public void close()
close
in interface MLDataSet
public int getIdealSize()
getIdealSize
in interface MLDataSet
public int getInputSize()
getInputSize
in interface MLDataSet
public void getRecord(long index, MLDataPair pair)
getRecord
in interface MLDataSet
index
- The index to read.pair
- The pair that the record will be copied into.public long getRecordCount()
getRecordCount
in interface MLDataSet
public boolean isSupervised()
isSupervised
in interface MLDataSet
public Iterator<MLDataPair> iterator()
iterator
in interface Iterable<MLDataPair>
public MLDataSet openAdditional()
openAdditional
in interface MLDataSet
public void startNewSequence()
MLSequenceSet
startNewSequence
in interface MLSequenceSet
public int getSequenceCount()
getSequenceCount
in interface MLSequenceSet
public MLDataSet getSequence(int i)
MLSequenceSet
getSequence
in interface MLSequenceSet
i
- The index of the sequence.
public Collection<MLDataSet> getSequences()
getSequences
in interface MLSequenceSet
public int size()
size
in interface MLDataSet
public MLDataPair get(int index)
get
in interface MLDataSet
public void add(MLDataSet sequence)
MLSequenceSet
add
in interface MLSequenceSet
sequence
- The sequence to add.
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