WekaOptionHelper (JGU WEKA REST 0.3.0 API)

java.lang.Object
- io.swagger.api.WekaOptionHelper

```
public class WekaOptionHelper
extends Object
```
Wrapper Class to translate webparam names into WEKA library params.

Constructor Summary

Constructors
Constructor and Description

WekaOptionHelper()

Constructors
Constructor and Description
`WekaOptionHelper()`

Method Summary

All Methods Static Methods Concrete Methods
Modifier and Type	Method and Description
`static String[]`	`getAdaBoostOptions(HashMap params)` Generate option string for Adaboost M1
`static String[]`	`getBaggingOptions(HashMap params)` Generate option string for Bagging
`static String[]`	`getBayesNetOptions(HashMap params)` Generate option string for BayesNet
`static String`	`getBooleanParam(Object value, String option, Object trueReference)` Option-string helper method for WEKA boolean options `WekaUtils.getBooleanParam("true", "R", true) => " -R " WekaUtils.getBooleanParam("false", "X", false) => " -X " WekaUtils.getBooleanParam(1, "H", 1) => " -H " WekaUtils.getBooleanParam(1, "X", 0) => ""`
`static String[]`	`getClassifierOptions(String classifier, HashMap params)`
`static String[]`	`getClustererOptions(String clusterer, HashMap params)`
`static String[]`	`getEMOptions(HashMap params)`
`static String[]`	`getGaussianProcessesOptions(HashMap params)` Generate option string for Gaussian Processes
`static String[]`	`getHierarchicalClustererOptions(HashMap params)`
`static String[]`	`getIBkOptions(HashMap params)` Generate option string for IBk
`static String[]`	`getJ48Options(HashMap params)` Generate option string for J48
`static String[]`	`getLibSVMOptions(HashMap params)` Generate option string for LibSVM
`static String[]`	`getLogisticOptions(HashMap params)` Generate option string for Logistic
`static String[]`	`getLROptions(HashMap params)` Generate option string for Linear Regression
`static String[]`	`getM5POptions(HashMap params)` Generate option string for M5P
`static String[]`	`getM5RuleOptions(HashMap params)` Generate option string for M5Rule
`static String[]`	`getMultilayerPerceptronOptions(HashMap params)` Generate option string for MultilayerPerceptron
`static String[]`	`getNaiveBayesOptions(HashMap params)`
`static String`	`getParamString(Object value, String option, Object defaultValue)` Option-string helper method for WEKA options build from option, value and defaultValue.
`static String[]`	`getRandomForestOptions(HashMap params)` Generate option string for RandomForest
`static String[]`	`getSimpleKMeansOptions(HashMap params)`
`static String[]`	`getSMOOptions(HashMap params)` Generate option string for SMO
`static String[]`	`getSMOregOptions(HashMap params)` Generate option string for SMO
`static String[]`	`splitOptions(String parameters)` Split parameter string with weka.core.Utils.splitOptions method

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

- Constructor Detail
  - WekaOptionHelper
```
public WekaOptionHelper()
```
- Method Detail
  - getClassifierOptions
```
public static String[] getClassifierOptions(String classifier,
                                            HashMap params)
```
  - getJ48Options
```
public static String[] getJ48Options(HashMap params)
```
    Generate option string for J48
    
    Parameters:
    
    params - HashMap: binarySplits, confidenceFactor, minNumObj, numFolds, reducedErrorPruning, seed, subtreeRaising, unpruned, useLaplace
    
    Returns:
    
    options array
  - getIBkOptions
```
public static String[] getIBkOptions(HashMap params)
```
    Generate option string for IBk
    
    Parameters:
    
    params - HashMap: windowSize, IBk, crossValidate, distanceWeighting, meanSquared, nearestNeighbourSearchAlgorithm
    
    Returns:
    
    options array
  - getBayesNetOptions
```
public static String[] getBayesNetOptions(HashMap params)
```
    Generate option string for BayesNet
    
    Parameters:
    
    params - HashMap: estimator, estimatorParams, useADTree, searchAlgorithm, searchParams
    
    Returns:
    
    options array
  - getNaiveBayesOptions
```
public static String[] getNaiveBayesOptions(HashMap params)
```
  - getGaussianProcessesOptions
```
public static String[] getGaussianProcessesOptions(HashMap params)
```
    Generate option string for Gaussian Processes
    
    Parameters:
    
    params - HashMap
    
    Returns:
    
    options array
  - getLibSVMOptions
```
public static String[] getLibSVMOptions(HashMap params)
```
    Generate option string for LibSVM
    
    Parameters:
    
    params - HashMap: svmType, coef0, cost, degree, eps, gamma, kernelType, loss, normalize, nu, probabilityEstimates, shrinking, weights
    
    Returns:
    
    options array
  - getLogisticOptions
```
public static String[] getLogisticOptions(HashMap params)
```
    Generate option string for Logistic
    
    Parameters:
    
    params - HashMap
    
    Returns:
    
    options array
  - getLROptions
```
public static String[] getLROptions(HashMap params)
```
    Generate option string for Linear Regression
    
    Parameters:
    
    params - HashMap: attributeSelectionMethod, eliminateColinearAttributes, ridge
    
    Returns:
    
    options array
  - getM5POptions
```
public static String[] getM5POptions(HashMap params)
```
    Generate option string for M5P
    
    Parameters:
    
    params - HashMap
    
    Returns:
    
    options array
  - getM5RuleOptions
```
public static String[] getM5RuleOptions(HashMap params)
```
    Generate option string for M5Rule
    
    Parameters:
    
    params - HashMap: unpruned, useUnsmoothed, minNumInstances, buildRegressionTree
    
    Returns:
    
    options array
  - getMultilayerPerceptronOptions
```
public static String[] getMultilayerPerceptronOptions(HashMap params)
```
    Generate option string for MultilayerPerceptron
    
    Parameters:
    
    params - HashMap
    
    Returns:
    
    options array
  - getRandomForestOptions
```
public static String[] getRandomForestOptions(HashMap params)
```
    Generate option string for RandomForest
    
    Parameters:
    
    params - HashMap
    
    Returns:
    
    options array
  - getSMOOptions
```
public static String[] getSMOOptions(HashMap params)
```
    Generate option string for SMO
    
    Parameters:
    
    params - HashMap
    
    Returns:
    
    options array
  - getSMOregOptions
```
public static String[] getSMOregOptions(HashMap params)
```
    Generate option string for SMO
    
    Parameters:
    
    params - HashMap
    
    Returns:
    
    options array
  - getAdaBoostOptions
```
public static String[] getAdaBoostOptions(HashMap params)
```
    Generate option string for Adaboost M1
    
    Parameters:
    
    params - HashMap: batchSize, numIterations, useResampling, weightThreshold
    
    Returns:
    
    options array
  - getBaggingOptions
```
public static String[] getBaggingOptions(HashMap params)
```
    Generate option string for Bagging
    
    Parameters:
    
    params - HashMap: bagSizePercent, batchSize, numIterations
    
    Returns:
    
    options array
  - getParamString
```
public static String getParamString(Object value,
                                    String option,
                                    Object defaultValue)
```
    Option-string helper method for WEKA options build from option, value and defaultValue.
    - sets a value to a given option
    - sets a defaultValue to a given option when value is null
    - sets an option when both value and defaultValue are null
```
 WekaUtils.getParamString(100, "R", 2) => " -R 100 "
 WekaUtils.getParamString(null, "H", 2) => " -H 2 "
 WekaUtils.getParamString(null, "X", null) => " -X "
 
```
    Parameters:
    
    value - value of the option
    
    option - option to set
    
    defaultValue - default value is set when value is null
    
    Returns:
    
    String the resulting string
  - getBooleanParam
```
public static String getBooleanParam(Object value,
                                     String option,
                                     Object trueReference)
```
    Option-string helper method for WEKA boolean options
```
 WekaUtils.getBooleanParam("true", "R", true) => " -R "
 WekaUtils.getBooleanParam("false", "X", false) => " -X "
 WekaUtils.getBooleanParam(1, "H", 1) => " -H "
 WekaUtils.getBooleanParam(1, "X", 0) => ""
 
```
    Parameters:
    
    value - value of the boolean option, e.g.: 1, true, -1
    
    option - option to set
    
    trueReference - to be compared with value
    
    Returns:
    
    String the resulting string
  - splitOptions
```
public static String[] splitOptions(String parameters)
```
    Split parameter string with weka.core.Utils.splitOptions method
    
    Parameters:
    
    parameters - parameter string to split to String[]
    
    Returns:
    
    String[] options for weka library
  - getClustererOptions
```
public static String[] getClustererOptions(String clusterer,
                                           HashMap params)
```
  - getEMOptions
```
public static String[] getEMOptions(HashMap params)
```
  - getHierarchicalClustererOptions
```
public static String[] getHierarchicalClustererOptions(HashMap params)
```
  - getSimpleKMeansOptions
```
public static String[] getSimpleKMeansOptions(HashMap params)
```

Class WekaOptionHelper

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

WekaOptionHelper

Method Detail

getClassifierOptions

getJ48Options

getIBkOptions

getBayesNetOptions

getNaiveBayesOptions

getGaussianProcessesOptions

getLibSVMOptions

getLogisticOptions

getLROptions

getM5POptions

getM5RuleOptions

getMultilayerPerceptronOptions

getRandomForestOptions

getSMOOptions

getSMOregOptions

getAdaBoostOptions

getBaggingOptions

getParamString

getBooleanParam

splitOptions

getClustererOptions

getEMOptions

getHierarchicalClustererOptions

getSimpleKMeansOptions