ai.libs.mlplan.metamining.pipelinecharacterizing

Class WEKAPipelineCharacterizer

java.lang.Object

ai.libs.mlplan.metamining.pipelinecharacterizing.WEKAPipelineCharacterizer

All Implemented Interfaces:

IPipelineCharacterizer

public class WEKAPipelineCharacterizer
extends java.lang.Object
implements IPipelineCharacterizer

A characterizer for MLPipelines that characterizes them using an ontology and a tree mining algorithm.

Constructor Summary

Constructors

Constructor and Description
WEKAPipelineCharacterizer()

Method Summary

Modifier and Type	Method and Description
void	build(java.util.List<MLPipeline> pipelines) Finds frequent patterns in the given list of pipelines.
double[]	characterize(MLPipeline pipeline) Checks which of the found patterns (found during the training phase in IPipelineCharacterizer.build(List)) occur in this pipeline.
double[][]	getCharacterizationsOfTrainingExamples() For each MLPipeline that was used in the training, return which found pattern (found during the training phase in IPipelineCharacterizer.build(List)) occurs in which pipeline.
int	getMinSupport() Get the minimum support required for a pattern to be considered frequent for the tree mining algorithm.
IOntologyConnector	getOntologyConnector()
protected java.lang.String	makeStringTreeRepresentation(MLPipeline pipeline) Converts the given MLPipeline to a String representation of its components using the ontology
void	setMinSupport(int minSupport) Set the minimum support required for a pattern to be considered frequent for the tree mining algorithm.
void	setOntologyConnector(IOntologyConnector ontologyConnector)

Methods inherited from class java.lang.Object

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

Constructor Detail

WEKAPipelineCharacterizer

public WEKAPipelineCharacterizer()

Method Detail

build

public void build(java.util.List<MLPipeline> pipelines)

Description copied from interface: IPipelineCharacterizer

Finds frequent patterns in the given list of pipelines.

Specified by:

build in interface IPipelineCharacterizer

Parameters:

pipelines - The pipelines to go though for patterns

characterize

public double[] characterize(MLPipeline pipeline)

Description copied from interface: IPipelineCharacterizer

Checks which of the found patterns (found during the training phase in IPipelineCharacterizer.build(List)) occur in this pipeline. If in the returned list l, l[j]=1, pattern p occurs in this pipeline. Otherwise l[j] and pattern j doesn't occur in this pipeline.

Specified by:

characterize in interface IPipelineCharacterizer

Parameters:

pipeline - The pipeline for which pattern occurrence is checked

Returns:

A list representing pattern occurrences in the pipeline

makeStringTreeRepresentation

protected java.lang.String makeStringTreeRepresentation(MLPipeline pipeline)

Converts the given MLPipeline to a String representation of its components using the ontology

Parameters:

pipeline -

Returns:

getCharacterizationsOfTrainingExamples

public double[][] getCharacterizationsOfTrainingExamples()

Description copied from interface: IPipelineCharacterizer

For each MLPipeline that was used in the training, return which found pattern (found during the training phase in IPipelineCharacterizer.build(List)) occurs in which pipeline. If in the returned matrix m, m[i][j]=1, pattern p occurs in training pipeline i. Otherwise m[i][j] and pattern j doesn't occur in training pipeline i.

Specified by:

getCharacterizationsOfTrainingExamples in interface IPipelineCharacterizer

Returns:

A matrix representing pattern occurrences in pipelines

getOntologyConnector

public IOntologyConnector getOntologyConnector()

Returns:

the ontologyConnector

setOntologyConnector

public void setOntologyConnector(IOntologyConnector ontologyConnector)

Parameters:

ontologyConnector - the ontologyConnector to set

getMinSupport

public int getMinSupport()

Get the minimum support required for a pattern to be considered frequent for the tree mining algorithm.

Returns:

The minimum support a tree pattern must have to be considered frequent

setMinSupport

public void setMinSupport(int minSupport)

Set the minimum support required for a pattern to be considered frequent for the tree mining algorithm.

Parameters:

minSupport - The minimum support a tree pattern must have to be considered frequent