org.apache.spark.ml.feature

Class ChiSqSelector

java.lang.Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Estimator<ChiSqSelectorModel>

org.apache.spark.ml.feature.ChiSqSelector

All Implemented Interfaces:

java.io.Serializable, Logging, Params, Identifiable

public final class ChiSqSelector
extends Estimator<ChiSqSelectorModel>

:: Experimental :: Chi-Squared feature selection, which selects categorical features to use for predicting a categorical label.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ChiSqSelector()
ChiSqSelector(java.lang.String uid)

Method Summary

Methods

Modifier and Type	Method and Description
ChiSqSelector	copy(ParamMap extra) Creates a copy of this instance with the same UID and some extra params.
ChiSqSelectorModel	fit(DataFrame dataset) Fits a model to the input data.
int	getNumTopFeatures()
static ChiSqSelector	load(java.lang.String path)
IntParam	numTopFeatures() Number of features that selector will select (ordered by statistic value descending).
ChiSqSelector	setFeaturesCol(java.lang.String value)
ChiSqSelector	setLabelCol(java.lang.String value)
ChiSqSelector	setNumTopFeatures(int value)
ChiSqSelector	setOutputCol(java.lang.String value)
StructType	transformSchema(StructType schema) :: DeveloperApi ::
java.lang.String	uid() An immutable unique ID for the object and its derivatives.

Methods inherited from class org.apache.spark.ml.Estimator

fit, fit, fit, fit

Methods inherited from class org.apache.spark.ml.PipelineStage

transformSchema

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.apache.spark.ml.param.Params

clear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn, validateParams

Methods inherited from interface org.apache.spark.ml.util.Identifiable

toString

Methods inherited from interface org.apache.spark.Logging

initializeIfNecessary, initializeLogging, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning

Constructor Detail

ChiSqSelector

public ChiSqSelector(java.lang.String uid)

ChiSqSelector

public ChiSqSelector()

Method Detail

load

public static ChiSqSelector load(java.lang.String path)

uid

public java.lang.String uid()

Description copied from interface: Identifiable

An immutable unique ID for the object and its derivatives.

Specified by:

uid in interface Identifiable

Returns:

(undocumented)

setNumTopFeatures

public ChiSqSelector setNumTopFeatures(int value)

setFeaturesCol

public ChiSqSelector setFeaturesCol(java.lang.String value)

setOutputCol

public ChiSqSelector setOutputCol(java.lang.String value)

setLabelCol

public ChiSqSelector setLabelCol(java.lang.String value)

fit

public ChiSqSelectorModel fit(DataFrame dataset)

Description copied from class: Estimator

Fits a model to the input data.

Specified by:

fit in class Estimator<ChiSqSelectorModel>

Parameters:

dataset - (undocumented)

Returns:

(undocumented)

transformSchema

public StructType transformSchema(StructType schema)

Description copied from class: PipelineStage

:: DeveloperApi ::

Derives the output schema from the input schema.

Specified by:

transformSchema in class PipelineStage

Parameters:

schema - (undocumented)

Returns:

(undocumented)

copy

public ChiSqSelector copy(ParamMap extra)

Description copied from interface: Params

Creates a copy of this instance with the same UID and some extra params. Subclasses should implement this method and set the return type properly.

Specified by:

copy in interface Params

Specified by:

copy in class Estimator<ChiSqSelectorModel>

Parameters:

extra - (undocumented)

Returns:

(undocumented)

See Also:

defaultCopy()

numTopFeatures

public IntParam numTopFeatures()

Number of features that selector will select (ordered by statistic value descending). If the number of features is < numTopFeatures, then this will select all features. The default value of numTopFeatures is 50.

Returns:

(undocumented)

getNumTopFeatures

public int getNumTopFeatures()