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

java.lang.Object
- org.wso2.carbon.ml.commons.domain.config.MLAlgorithm

```
public class MLAlgorithm
extends Object
```
DTO class for JAXB binding of MLAlgorithmConfigurationParser

Constructor Summary

Constructors
Constructor and Description

MLAlgorithm()

Constructors
Constructor and Description
`MLAlgorithm()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`int`	`getDimensionality()`
`int`	`getInterpretability()`
`int`	`getMulticollinearity()`
`String`	`getName()`
`List<MLHyperParameter>`	`getParameters()`
`boolean`	`getPmmlExportable()`
`int`	`getScalability()`
`String`	`getType()`
`void`	`setDimensionality(int dimensionality)`
`void`	`setInterpretability(int interpretability)`
`void`	`setMulticollinearity(int multicollinearity)`
`void`	`setName(String name)`
`void`	`setParameters(List<MLHyperParameter> parameters)`
`void`	`setPmmlExportable(boolean status)`
`void`	`setScalability(int scalability)`
`void`	`setType(String type)`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - MLAlgorithm
```
public MLAlgorithm()
```
- Method Detail
  - getName
```
public String getName()
```
    Returns:
    
    Returns machine learning algorithm name
  - setName
```
public void setName(String name)
```
    Parameters:
    
    name - Sets machine learning algorithm name
  - getType
```
public String getType()
```
    Returns:
    
    Returns machine learning algorithm type e.g. Classification
  - setType
```
public void setType(String type)
```
    Parameters:
    
    type - Sets machine learning algorithm type
  - getInterpretability
```
public int getInterpretability()
```
    Returns:
    
    Returns interpretability score (out of 5)
  - setInterpretability
```
public void setInterpretability(int interpretability)
```
    Parameters:
    
    interpretability - Sets interpretability score
  - getScalability
```
public int getScalability()
```
    Returns:
    
    Returns scalability score (out of 5)
  - setScalability
```
public void setScalability(int scalability)
```
    Parameters:
    
    scalability - Sets scalability score
  - getMulticollinearity
```
public int getMulticollinearity()
```
    Returns:
    
    Returns multicollinearity score (out of 5)
  - setMulticollinearity
```
public void setMulticollinearity(int multicollinearity)
```
    Parameters:
    
    multicollinearity - Sets multicollinearity score
  - getDimensionality
```
public int getDimensionality()
```
    Returns:
    
    Returns dimensionality score (out of 5)
  - setDimensionality
```
public void setDimensionality(int dimensionality)
```
    Parameters:
    
    dimensionality - Sets dimensionality score
  - getPmmlExportable
```
public boolean getPmmlExportable()
```
    Returns:
    
    Returns true if pmml supported, false otherwise
  - setPmmlExportable
```
public void setPmmlExportable(boolean status)
```
    Parameters:
    
    status - Sets pmml exportability
  - getParameters
```
public List<MLHyperParameter> getParameters()
```
    Returns:
    
    Returns a list of hyper-parameters
  - setParameters
```
public void setParameters(List<MLHyperParameter> parameters)
```
    Parameters:
    
    parameters - Sets hyper-parameters

Class MLAlgorithm

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

MLAlgorithm

Method Detail

getName

setName

getType

setType

getInterpretability

setInterpretability

getScalability

setScalability

getMulticollinearity

setMulticollinearity

getDimensionality

setDimensionality

getPmmlExportable

setPmmlExportable

getParameters

setParameters