org.wso2.carbon.ml.commons.domain

Class Workflow

java.lang.Object

org.wso2.carbon.ml.commons.domain.Workflow

All Implemented Interfaces:

Serializable

public class Workflow
extends Object
implements Serializable

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
Workflow()

Method Summary

Methods

Modifier and Type	Method and Description
String	getAlgorithmClass()
String	getAlgorithmName()
String	getDatasetURL()
String	getDatasetVersion()
List<Feature>	getFeatures()
Map<String,String>	getHyperParameters()
List<Feature>	getIncludedFeatures()
String	getResponseVariable()
double	getTrainDataFraction()
long	getWorkflowID()
void	setAlgorithmClass(String algorithmClass)
void	setAlgorithmName(String algorithmName)
void	setDatasetURL(String datasetURL)
void	setDatasetVersion(String datasetVersion)
void	setFeatures(List<Feature> features)
void	setHyperParameters(Map<String,String> hyperParameters)
void	setResponseVariable(String responseVariable)
void	setTrainDataFraction(double trainDataFraction)
void	setWorkflowID(long workflowID)
String	toString()

Methods inherited from class java.lang.Object

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

Constructor Detail

Workflow

public Workflow()

Method Detail

getWorkflowID

public long getWorkflowID()

Returns:

Returns machine learning workflow ID

setWorkflowID

public void setWorkflowID(long workflowID)

Parameters:

workflowID - Sets machine learning workflow ID

getDatasetURL

public String getDatasetURL()

Returns:

Returns dataset URL

setDatasetURL

public void setDatasetURL(String datasetURL)

Parameters:

datasetURL - Sets dataset URL

getAlgorithmName

public String getAlgorithmName()

Returns:

Returns machine learning algorithm name

setAlgorithmName

public void setAlgorithmName(String algorithmName)

Parameters:

algorithmName - Sets machine learning algorithm name

getResponseVariable

public String getResponseVariable()

Returns:

Returns response variable

setResponseVariable

public void setResponseVariable(String responseVariable)

Parameters:

responseVariable - Sets response variable

getTrainDataFraction

public double getTrainDataFraction()

Returns:

Returns training data fraction

setTrainDataFraction

public void setTrainDataFraction(double trainDataFraction)

Parameters:

trainDataFraction - Sets training data fraction

getFeatures

public List<Feature> getFeatures()

Returns:

Returns a list of machine learning features

setFeatures

public void setFeatures(List<Feature> features)

Parameters:

features - Sets machine learning features

getAlgorithmClass

public String getAlgorithmClass()

Returns:

Returns machine learning algorithm class e.g. Classification

setAlgorithmClass

public void setAlgorithmClass(String algorithmClass)

Parameters:

algorithmClass - Sets machine learning algorithm class

getHyperParameters

public Map<String,String> getHyperParameters()

Returns:

Returns hyper parameters

setHyperParameters

public void setHyperParameters(Map<String,String> hyperParameters)

Parameters:

hyperParameters - Sets hyper parameters

getDatasetVersion

public String getDatasetVersion()

Returns:

Returns dataset version

setDatasetVersion

public void setDatasetVersion(String datasetVersion)

Parameters:

datasetVersion - Sets dataset version

getIncludedFeatures

public List<Feature> getIncludedFeatures()

toString

public String toString()

Overrides:

toString in class Object