org.apache.spark.ml.feature

Class IDFModel

Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

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

org.apache.spark.ml.feature.IDFModel

All Implemented Interfaces:

java.io.Serializable, Logging, Params

public class IDFModel
extends Model<IDFModel>

See Also:

Serialized Form

Method Summary

Methods

Modifier and Type	Method and Description
int	getMinDocFreq()
IntParam	minDocFreq() The minimum of documents in which a term should appear.
IDFModel	setInputCol(String value)
org.apache.spark.ml.feature.IDFBase	setMinDocFreq(int value)
IDFModel	setOutputCol(String value)
DataFrame	transform(DataFrame dataset) Transforms the input dataset.
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.Model

copy, hasParent, parent, setParent

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, 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

Method Detail

uid

public String uid()

setInputCol

public IDFModel setInputCol(String value)

setOutputCol

public IDFModel 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)

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)