Workflow (WSO2 Carbon - Machine Learner Commons Component 1.2.7 API)

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()

Constructors
Constructor and Description
`Workflow()`

Method Summary

All Methods Instance Methods Concrete 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`	`getNewAnomalyLabel()`
`String`	`getNewNormalLabel()`
`boolean`	`getNormalization()`
`String`	`getNormalLabels()`
`String`	`getObservations()`
`String`	`getProductVariable()`
`String`	`getRatingVariable()`
`String`	`getResponseVariable()`
`double`	`getTrainDataFraction()`
`String`	`getUserVariable()`
`long`	`getWorkflowID()`
`boolean`	`isTimeSeriesDataset()`
`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`	`setNewAnomalyLabel(String newAnomalyLabel)`
`void`	`setNewNormalLabel(String newNormalLabel)`
`void`	`setNormalization(boolean normalization)`
`void`	`setNormalLabels(String normalLabels)`
`void`	`setObservations(String observations)`
`void`	`setProductVariable(String productVariable)`
`void`	`setRatingVariable(String ratingVariable)`
`void`	`setResponseVariable(String responseVariable)`
`void`	`setTimeSeriesDataset(boolean timeSeriesDataset)`
`void`	`setTrainDataFraction(double trainDataFraction)`
`void`	`setUserVariable(String userVariable)`
`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
  - getUserVariable
```
public String getUserVariable()
```
    Returns:
    
    Returns user variable
  - setUserVariable
```
public void setUserVariable(String userVariable)
```
    Parameters:
    
    userVariable - Sets user variable
  - getProductVariable
```
public String getProductVariable()
```
    Returns:
    
    Returns product variable
  - setProductVariable
```
public void setProductVariable(String productVariable)
```
    Parameters:
    
    productVariable - Sets product variable
  - getRatingVariable
```
public String getRatingVariable()
```
    Returns:
    
    Returns rating variable
  - getObservations
```
public String getObservations()
```
    Returns:
    
    Returns observations
  - setObservations
```
public void setObservations(String observations)
```
    Parameters:
    
    observations - Sets observations
  - setRatingVariable
```
public void setRatingVariable(String ratingVariable)
```
    Parameters:
    
    ratingVariable - Sets rating variable
  - getTrainDataFraction
```
public double getTrainDataFraction()
```
    Returns:
    
    Returns training data fraction
  - setTrainDataFraction
```
public void setTrainDataFraction(double trainDataFraction)
```
    Parameters:
    
    trainDataFraction - Sets training data fraction
  - getNormalization
```
public boolean getNormalization()
```
    Returns:
    
    Returns normalization
  - setNormalization
```
public void setNormalization(boolean normalization)
```
    Parameters:
    
    normalization - Sets nomalization option
  - getNormalLabels
```
public String getNormalLabels()
```
    Returns:
    
    Returns normal labels
  - isTimeSeriesDataset
```
public boolean isTimeSeriesDataset()
```
    Returns:
    
    A boolean flag which indicates whether this dataset is a time series or not
  - setTimeSeriesDataset
```
public void setTimeSeriesDataset(boolean timeSeriesDataset)
```
    Parameters:
    
    timeSeriesDataset -
  - setNormalLabels
```
public void setNormalLabels(String normalLabels)
```
    Parameters:
    
    normalLabels - Sets normal labels
  - getNewNormalLabel
```
public String getNewNormalLabel()
```
    Returns:
    
    new normal labels
  - setNewNormalLabel
```
public void setNewNormalLabel(String newNormalLabel)
```
    Parameters:
    
    newNormalLabel - Sets new normal label
  - getNewAnomalyLabel
```
public String getNewAnomalyLabel()
```
    Returns:
    
    new anomaly labels
  - setNewAnomalyLabel
```
public void setNewAnomalyLabel(String newAnomalyLabel)
```
    Parameters:
    
    newAnomalyLabel - Sets new anomaly label
  - 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

Class Workflow

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

Workflow

Method Detail

getWorkflowID

setWorkflowID

getDatasetURL

setDatasetURL

getAlgorithmName

setAlgorithmName

getResponseVariable

setResponseVariable

getUserVariable

setUserVariable

getProductVariable

setProductVariable

getRatingVariable

getObservations

setObservations

setRatingVariable

getTrainDataFraction

setTrainDataFraction

getNormalization

setNormalization

getNormalLabels

isTimeSeriesDataset

setTimeSeriesDataset

setNormalLabels

getNewNormalLabel

setNewNormalLabel

getNewAnomalyLabel

setNewAnomalyLabel

getFeatures

setFeatures

getAlgorithmClass

setAlgorithmClass

getHyperParameters

setHyperParameters

getDatasetVersion

setDatasetVersion

getIncludedFeatures

toString