weka.classifiers.meta.multisearch

Interface MultiSearchCapable

All Superinterfaces:

weka.classifiers.Classifier

All Known Implementing Classes:

MultiSearch

public interface MultiSearchCapable
extends weka.classifiers.Classifier

Interface for multi-search capable classifiers..

Author:

FracPete (fracpete at waikato dot ac dot nz)

Method Summary

Modifier and Type	Method and Description
AbstractSearch	getAlgorithm() Returns the search algorithm.
weka.classifiers.Classifier	getBestClassifier() returns the best Classifier setup.
Point<Object>	getBestCoordinates() returns the points that were found to work best.
Point<Object>	getBestValues() returns the parameter values that were found to work best.
weka.classifiers.Classifier	getClassifier() returns the Classifier setup.
int	getClassLabelIndex(int upper) Returns the integer index.
String	getCommandline(Object obj) Returns the commandline of the given object.
weka.core.SelectedTag	getEvaluation() Gets the criterion used for evaluating the classifier performance.
AbstractEvaluationFactory	getFactory() Returns the factory instance.
SetupGenerator	getGenerator() Returns the setup generator.
AbstractEvaluationMetrics	getMetrics() Returns the evaluation metrics.
int	getSeed() Gets the seed for the random number generations
void	log(String message) prints the specified message to stdout if debug is on and can also dump the message to a log file.
void	log(String message, boolean onlyLog) prints the specified message to stdout if debug is on and can also dump the message to a log file.
void	logPerformances(Space space, Vector<Performance> performances) aligns all performances in the space and prints those tables to the log file.
String	logPerformances(Space space, Vector<Performance> performances, weka.core.Tag type) generates a table string for all the performances in the space and returns that.

Methods inherited from interface weka.classifiers.Classifier

buildClassifier, classifyInstance, distributionForInstance, getCapabilities

Method Detail

log

void log(String message)

prints the specified message to stdout if debug is on and can also dump the message to a log file.

Parameters:

message - the message to print or store in a log file

log

void log(String message,
         boolean onlyLog)

prints the specified message to stdout if debug is on and can also dump the message to a log file.

Parameters:

message - the message to print or store in a log file

onlyLog - if true the message will only be put into the log file but not to stdout

logPerformances

String logPerformances(Space space,
                       Vector<Performance> performances,
                       weka.core.Tag type)

generates a table string for all the performances in the space and returns that.

Parameters:

space - the current space to align the performances to

performances - the performances to align

type - the type of performance

Returns:

the table string

logPerformances

void logPerformances(Space space,
                     Vector<Performance> performances)

aligns all performances in the space and prints those tables to the log file.

Parameters:

space - the current space to align the performances to

performances - the performances to align

getCommandline

String getCommandline(Object obj)

Returns the commandline of the given object.

Parameters:

obj - the object to create the commandline for

Returns:

the commandline

getFactory

AbstractEvaluationFactory getFactory()

Returns the factory instance.

Returns:

the factory

getMetrics

AbstractEvaluationMetrics getMetrics()

Returns the evaluation metrics.

Returns:

the metrics

getAlgorithm

AbstractSearch getAlgorithm()

Returns the search algorithm.

Returns:

the algorithm

getBestValues

Point<Object> getBestValues()

returns the parameter values that were found to work best.

Returns:

the best parameter combination

getBestCoordinates

Point<Object> getBestCoordinates()

returns the points that were found to work best.

Returns:

the best points

getBestClassifier

weka.classifiers.Classifier getBestClassifier()

returns the best Classifier setup.

Returns:

the best Classifier setup

getClassifier

weka.classifiers.Classifier getClassifier()

returns the Classifier setup.

Returns:

the Classifier setup

getGenerator

SetupGenerator getGenerator()

Returns the setup generator.

Returns:

the generator

getClassLabelIndex

int getClassLabelIndex(int upper)

Returns the integer index.

Parameters:

upper - the maximum to use

Returns:

the index (0-based)

getEvaluation

weka.core.SelectedTag getEvaluation()

Gets the criterion used for evaluating the classifier performance.

Returns:

the current evaluation criterion.

getSeed

int getSeed()

Gets the seed for the random number generations

Returns:

the seed for the random number generation