ChiSqSelector (Spark 2.1.3 JavaDoc)

Object
- org.apache.spark.mllib.feature.ChiSqSelector

All Implemented Interfaces:

java.io.Serializable
```
public class ChiSqSelector
extends Object
implements scala.Serializable
```
Creates a ChiSquared feature selector. The selector supports different selection methods: numTopFeatures, percentile, fpr. - numTopFeatures chooses a fixed number of top features according to a chi-squared test. - percentile is similar but chooses a fraction of all features instead of a fixed number. - fpr chooses all features whose p-value is below a threshold, thus controlling the false positive rate of selection. By default, the selection method is numTopFeatures, with the default number of top features set to 50.

See Also:
Serialized Form

Constructor Summary

Constructors
Constructor and Description

ChiSqSelector()

ChiSqSelector(int numTopFeatures)
The is the same to call this() and setNumTopFeatures(numTopFeatures)

Constructors
Constructor and Description
`ChiSqSelector()`
`ChiSqSelector(int numTopFeatures)` The is the same to call this() and setNumTopFeatures(numTopFeatures)

Method Summary

Methods
Modifier and Type	Method and Description
`ChiSqSelectorModel`	`fit(RDD<LabeledPoint> data)` Returns a ChiSquared feature selector.
`double`	`fpr()`
`static String`	`FPR()` String name for `fpr` selector type.
`int`	`numTopFeatures()`
`static String`	`NumTopFeatures()` String name for `numTopFeatures` selector type.
`double`	`percentile()`
`static String`	`Percentile()` String name for `percentile` selector type.
`String`	`selectorType()`
`ChiSqSelector`	`setFpr(double value)`
`ChiSqSelector`	`setNumTopFeatures(int value)`
`ChiSqSelector`	`setPercentile(double value)`
`ChiSqSelector`	`setSelectorType(String value)`
`static String[]`	`supportedSelectorTypes()` Set of selector types that ChiSqSelector supports.

Methods inherited from class Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - ChiSqSelector
```
public ChiSqSelector()
```
  - ChiSqSelector
```
public ChiSqSelector(int numTopFeatures)
```
    The is the same to call this() and setNumTopFeatures(numTopFeatures)
    
    Parameters:
    numTopFeatures - (undocumented)
- Method Detail
  - NumTopFeatures
```
public static String NumTopFeatures()
```
    String name for numTopFeatures selector type.
    
    Returns:
    (undocumented)
  - Percentile
```
public static String Percentile()
```
    String name for percentile selector type.
    
    Returns:
    (undocumented)
  - FPR
```
public static String FPR()
```
    String name for `fpr` selector type.
  - supportedSelectorTypes
```
public static String[] supportedSelectorTypes()
```
    Set of selector types that ChiSqSelector supports.
  - numTopFeatures
```
public int numTopFeatures()
```
  - percentile
```
public double percentile()
```
  - fpr
```
public double fpr()
```
  - selectorType
```
public String selectorType()
```
  - setNumTopFeatures
```
public ChiSqSelector setNumTopFeatures(int value)
```
  - setPercentile
```
public ChiSqSelector setPercentile(double value)
```
  - setFpr
```
public ChiSqSelector setFpr(double value)
```
  - setSelectorType
```
public ChiSqSelector setSelectorType(String value)
```
  - fit
```
public ChiSqSelectorModel fit(RDD<LabeledPoint> data)
```
    Returns a ChiSquared feature selector.
    
    Parameters:
    data - an RDD[LabeledPoint] containing the labeled dataset with categorical features. Real-valued features will be treated as categorical for each distinct value. Apply feature discretizer before using this function.
    
    Returns:
    (undocumented)

Class ChiSqSelector

Constructor Summary

Method Summary

Methods inherited from class Object

Constructor Detail

ChiSqSelector

ChiSqSelector

Method Detail

NumTopFeatures

Percentile

FPR

supportedSelectorTypes

numTopFeatures

percentile

fpr

selectorType

setNumTopFeatures

setPercentile

setFpr

setSelectorType

fit