org.apache.spark.ml.feature
Class Binarizer

Object
  org.apache.spark.ml.PipelineStage
      org.apache.spark.ml.Transformer
          org.apache.spark.ml.feature.Binarizer

All Implemented Interfaces:

java.io.Serializable, Logging, Params

public final class Binarizer
extends Transformer

:: Experimental :: Binarize a column of continuous features given a threshold.

See Also:

Serialized Form

Constructor Summary

Binarizer()

Binarizer(String uid)

Method Summary

Binarizer	copy(ParamMap extra) Creates a copy of this instance with the same UID and some extra params.
double	getThreshold()
Binarizer	setInputCol(String value)
Binarizer	setOutputCol(String value)
Binarizer	setThreshold(double value)
DoubleParam	threshold() Param for threshold used to binarize continuous features.
DataFrame	transform(DataFrame dataset) Transforms the input dataset.
StructType	transformSchema(StructType schema) :: DeveloperApi ::
String	uid()

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

transform, transform, transform

Methods inherited from class Object

equals, 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, setDefault, shouldOwn, validateParams

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

Binarizer

public Binarizer(String uid)

Binarizer

public Binarizer()

Method Detail

uid

public String uid()

threshold

public DoubleParam threshold()

Param for threshold used to binarize continuous features. The features greater than the threshold, will be binarized to 1.0. The features equal to or less than the threshold, will be binarized to 0.0.

Returns:

(undocumented)

getThreshold

public double getThreshold()

setThreshold

public Binarizer setThreshold(double value)

setInputCol

public Binarizer setInputCol(String value)

setOutputCol

public Binarizer setOutputCol(String value)

transform

public DataFrame transform(DataFrame dataset)

Description copied from class: Transformer

Transforms the input dataset.

Specified by:

transform in class Transformer

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 Binarizer 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 Transformer

Parameters:

extra - (undocumented)

Returns:

(undocumented)

See Also:

defaultCopy()