meka.experiment.datasetproviders

Class LocalDatasetProvider

java.lang.Object

meka.events.LogObject

meka.experiment.datasetproviders.AbstractDatasetProvider

meka.experiment.datasetproviders.LocalDatasetProvider

All Implemented Interfaces:

Serializable, Iterator<weka.core.Instances>, LogSupporter, DatasetProvider, weka.core.OptionHandler

public class LocalDatasetProvider
extends AbstractDatasetProvider

Loads local files from disk.

Version:

$Revision$

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected int	m_Current the iterator index.
protected List<File>	m_Datasets the files to load.

Fields inherited from class meka.events.LogObject

m_Debug, m_LogListeners

Constructor Summary

Constructors

Constructor and Description
LocalDatasetProvider()

Method Summary

Modifier and Type	Method and Description
String	datasetsTipText() Describes this property.
File[]	getDatasets() Returns the datasets to use in the experiment.
String[]	getOptions() Returns the options.
String	globalInfo() Description to be displayed in the GUI.
boolean	hasNext() Returns whether another dataset is available.
String	initialize() Initializes the provider to start providing datasets from scratch.
Enumeration<weka.core.Option>	listOptions() Returns an enumeration of all the available options..
weka.core.Instances	next() Returns the next dataset.
void	setDatasets(File[] value) Sets the datasets to use in the experiment.
void	setOptions(String[] options) Sets the options.

Methods inherited from class meka.experiment.datasetproviders.AbstractDatasetProvider

finish, remove

Methods inherited from class meka.events.LogObject

addLogListener, debug, getLogListeners, handleException, log, removeLogListener

Methods inherited from class java.lang.Object

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

Methods inherited from interface java.util.Iterator

forEachRemaining

Methods inherited from interface meka.events.LogSupporter

addLogListener, log, removeLogListener

Field Detail

m_Datasets

protected List<File> m_Datasets

the files to load.

m_Current

protected int m_Current

the iterator index.

Constructor Detail

LocalDatasetProvider

public LocalDatasetProvider()

Method Detail

globalInfo

public String globalInfo()

Description to be displayed in the GUI.

Specified by:

globalInfo in class AbstractDatasetProvider

Returns:

the description

setDatasets

public void setDatasets(File[] value)

Sets the datasets to use in the experiment.

Parameters:

value - the datasets

getDatasets

public File[] getDatasets()

Returns the datasets to use in the experiment.

Returns:

the datasets

datasetsTipText

public String datasetsTipText()

Describes this property.

Returns:

the description

listOptions

public Enumeration<weka.core.Option> listOptions()

Returns an enumeration of all the available options..

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class AbstractDatasetProvider

Returns:

an enumeration of all available options.

setOptions

public void setOptions(String[] options)
                throws Exception

Sets the options.

Specified by:

setOptions in interface weka.core.OptionHandler

Overrides:

setOptions in class AbstractDatasetProvider

Parameters:

options - the options

Throws:

Exception - if parsing of options fails

getOptions

public String[] getOptions()

Returns the options.

Specified by:

getOptions in interface weka.core.OptionHandler

Overrides:

getOptions in class AbstractDatasetProvider

Returns:

the options

initialize

public String initialize()

Initializes the provider to start providing datasets from scratch.

Specified by:

initialize in interface DatasetProvider

Overrides:

initialize in class AbstractDatasetProvider

Returns:

null if successfully initialized, otherwise error message

hasNext

public boolean hasNext()

Returns whether another dataset is available.

Returns:

true if another dataset is available

next

public weka.core.Instances next()

Returns the next dataset.

Returns:

the next dataset, null in case of an error