CETR.Parameters (Datumbox Framework Applications 0.8.2 API)

java.lang.Object
- com.datumbox.framework.applications.nlp.CETR.Parameters

All Implemented Interfaces:

Parameterizable, Serializable

Enclosing class:

CETR
```
public static class CETR.Parameters
extends Object
implements Parameterizable
```
The object with the Parameters of the Algorithm.

See Also:

Serialized Form

Constructor Summary

Constructors
Constructor Description

Parameters()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`int`	`getAlphaWindowSizeFor2DModel()`	Getter for the alpha parameter which is the window size used in the moving average of the 2D model.
`int`	`getNumberOfClusters()`	Getter for the number of clusters that will be used by the clustering algorithm
`int`	`getSmoothingAverageRadius()`	Getter for the smoothing average radius.
`void`	`setAlphaWindowSizeFor2DModel(int alphaWindowSizeFor2DModel)`	Setter for the alpha parameter which is the window size used in the moving average of the 2D model.
`void`	`setNumberOfClusters(int numberOfClusters)`	Setter for the number of clusters that will be used by the clustering algorithm
`void`	`setSmoothingAverageRadius(int smoothingAverageRadius)`	Setter for the smoothing average radius.

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

- Constructor Detail
  - Parameters
```
public Parameters()
```
- Method Detail
  - getNumberOfClusters
```
public int getNumberOfClusters()
```
    Getter for the number of clusters that will be used by the clustering algorithm
    
    Returns:
  - setNumberOfClusters
```
public void setNumberOfClusters(int numberOfClusters)
```
    Setter for the number of clusters that will be used by the clustering algorithm
    
    Parameters:
    
    numberOfClusters -
  - getAlphaWindowSizeFor2DModel
```
public int getAlphaWindowSizeFor2DModel()
```
    Getter for the alpha parameter which is the window size used in the moving average of the 2D model.
    
    Returns:
  - setAlphaWindowSizeFor2DModel
```
public void setAlphaWindowSizeFor2DModel(int alphaWindowSizeFor2DModel)
```
    Setter for the alpha parameter which is the window size used in the moving average of the 2D model.
    
    Parameters:
    
    alphaWindowSizeFor2DModel -
  - getSmoothingAverageRadius
```
public int getSmoothingAverageRadius()
```
    Getter for the smoothing average radius.
    
    Returns:
  - setSmoothingAverageRadius
```
public void setSmoothingAverageRadius(int smoothingAverageRadius)
```
    Setter for the smoothing average radius.
    
    Parameters:
    
    smoothingAverageRadius -