it.uniroma2.sag.kelp.data.dataset

Class SequenceDataset

java.lang.Object

it.uniroma2.sag.kelp.data.dataset.SimpleDataset

it.uniroma2.sag.kelp.data.dataset.SequenceDataset

All Implemented Interfaces:

Dataset

public class SequenceDataset
extends SimpleDataset

A dataset made of SequenceExamples

Author:

Danilo Croce

Constructor Summary

Constructors

Constructor and Description
SequenceDataset()

Method Summary

Methods

Modifier and Type	Method and Description
List<Label>	getClassificationLabels() Returns all the classification labels in the dataset.
List<SequenceExample>	getSequenceExamples()
void	populate(String inputFilePath) Populate the dataset by reading it from a KeLP compliant file.
SequenceDataset[]	split(float percentage) Returns two datasets created by splitting this dataset accordingly to percentage.
SequenceDataset[]	splitClassDistributionInvariant(float percentage) Returns two datasets created by splitting this dataset accordingly to percentage.

Methods inherited from class it.uniroma2.sag.kelp.data.dataset.SimpleDataset

addExample, addExamples, extractExamplesOfClasses, getExample, getExamples, getNextExample, getNextExamples, getNumberOfExamples, getNumberOfNegativeExamples, getNumberOfPositiveExamples, getRandExample, getRandExamples, getRegressionProperties, getShuffledDataset, getZeroVector, hasNextExample, isConsistent, manipulate, nFolding, nFoldingClassDistributionInvariant, populate, reset, save, setSeed, shuffleExamples

Methods inherited from class java.lang.Object

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

Constructor Detail

SequenceDataset

public SequenceDataset()

Method Detail

getClassificationLabels

public List<Label> getClassificationLabels()

Description copied from interface: Dataset

Returns all the classification labels in the dataset.

Specified by:

getClassificationLabels in interface Dataset

Overrides:

getClassificationLabels in class SimpleDataset

Returns:

the classification labels in the dataset

getSequenceExamples

public List<SequenceExample> getSequenceExamples()

Returns:

The list of sequence of examples in the dataset

populate

public void populate(String inputFilePath)
              throws IOException,
                     InstantiationException,
                     ParsingExampleException

Description copied from class: SimpleDataset

Populate the dataset by reading it from a KeLP compliant file.

Overrides:

populate in class SimpleDataset

Parameters:

inputFilePath - the path of the file to be read

Throws:

IOException

InstantiationException

ParsingExampleException

split

public SequenceDataset[] split(float percentage)

Description copied from class: SimpleDataset

Returns two datasets created by splitting this dataset accordingly to percentage. The examples are split accordingly to their order without maintaining the original data distribution among the classes. Thus the first dataset consists of the first percentage% of examples, while the second dataset consists in all the remaining examples

Overrides:

split in class SimpleDataset

Parameters:

percentage - should be a number in [0,1]

Returns:

two datasets generated by splitting this one

splitClassDistributionInvariant

public SequenceDataset[] splitClassDistributionInvariant(float percentage)

Description copied from class: SimpleDataset

Returns two datasets created by splitting this dataset accordingly to percentage. The original distribution of the examples among the classes is maintained in the two datasets. The examples are split accordingly to their order. Thus the first dataset consists of the first percentage% of examples of each class, while the second dataset consists in all the remaining examples

Overrides:

splitClassDistributionInvariant in class SimpleDataset

Parameters:

percentage - should be a number in [0,1]

Returns:

two datasets generated by splitting this one