org.apache.spark.ml.feature

Class IDF

Object

org.apache.spark.ml.PipelineStage

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

org.apache.spark.ml.feature.IDF

All Implemented Interfaces:

java.io.Serializable, Logging, Params

public final class IDF
extends Estimator<IDFModel>

:: Experimental :: Compute the Inverse Document Frequency (IDF) given a collection of documents.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
IDF()
IDF(String uid)

Method Summary

Methods

Modifier and Type	Method and Description
IDFModel	fit(DataFrame dataset) Fits a model to the input data.
int	getMinDocFreq()
IntParam	minDocFreq() The minimum of documents in which a term should appear.
IDF	setInputCol(String value)
org.apache.spark.ml.feature.IDFBase	setMinDocFreq(int value)
IDF	setOutputCol(String value)
StructType	transformSchema(StructType schema) :: DeveloperApi ::
String	uid()
StructType	validateAndTransformSchema(StructType schema) Validate and transform the input schema.

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

copy, fit, fit, fit, fit

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, copy, copyValues, 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

IDF

public IDF(String uid)

IDF

public IDF()

Method Detail

uid

public String uid()

setInputCol

public IDF setInputCol(String value)

setOutputCol

public IDF setOutputCol(String value)

fit

public IDFModel fit(DataFrame dataset)

Description copied from class: Estimator

Fits a model to the input data.

Specified by:

fit in class Estimator<IDFModel>

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)

minDocFreq

public IntParam minDocFreq()

The minimum of documents in which a term should appear.

Returns:

(undocumented)

getMinDocFreq

public int getMinDocFreq()

setMinDocFreq

public org.apache.spark.ml.feature.IDFBase setMinDocFreq(int value)

validateAndTransformSchema

public StructType validateAndTransformSchema(StructType schema)

Validate and transform the input schema.

Parameters:

schema - (undocumented)

Returns:

(undocumented)