org.apache.spark.ml.feature

Class DCT

java.lang.Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

org.apache.spark.ml.UnaryTransformer<Vector,Vector,DCT>

org.apache.spark.ml.feature.DCT

All Implemented Interfaces:

java.io.Serializable, Logging, Params, Identifiable

public class DCT
extends UnaryTransformer<Vector,Vector,DCT>

:: Experimental :: A feature transformer that takes the 1D discrete cosine transform of a real vector. No zero padding is performed on the input vector. It returns a real vector of the same length representing the DCT. The return vector is scaled such that the transform matrix is unitary (aka scaled DCT-II).

More information on Wikipedia.

See Also:

Serialized Form

Constructor Summary

Constructors

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

Method Summary

Methods

Modifier and Type	Method and Description
protected scala.Function1<Vector,Vector>	createTransformFunc() Creates the transform function using the given param map.
boolean	getInverse()
BooleanParam	inverse() Indicates whether to perform the inverse DCT (true) or forward DCT (false).
protected DataType	outputDataType() Returns the data type of the output column.
DCT	setInverse(boolean value)
java.lang.String	uid() An immutable unique ID for the object and its derivatives.
protected void	validateInputType(DataType inputType) Validates the input type.

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

copy, setInputCol, setOutputCol, transform, transformSchema

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

transform, transform, transform

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.Logging

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

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

Constructor Detail

DCT

public DCT(java.lang.String uid)

DCT

public DCT()

Method Detail

uid

public java.lang.String uid()

Description copied from interface: Identifiable

An immutable unique ID for the object and its derivatives.

Returns:

(undocumented)

inverse

public BooleanParam inverse()

Indicates whether to perform the inverse DCT (true) or forward DCT (false). Default: false

Returns:

(undocumented)

setInverse

public DCT setInverse(boolean value)

getInverse

public boolean getInverse()

createTransformFunc

protected scala.Function1<Vector,Vector> createTransformFunc()

Description copied from class: UnaryTransformer

Creates the transform function using the given param map. The input param map already takes account of the embedded param map. So the param values should be determined solely by the input param map.

Specified by:

createTransformFunc in class UnaryTransformer<Vector,Vector,DCT>

Returns:

(undocumented)

validateInputType

protected void validateInputType(DataType inputType)

Description copied from class: UnaryTransformer

Validates the input type. Throw an exception if it is invalid.

Overrides:

validateInputType in class UnaryTransformer<Vector,Vector,DCT>

Parameters:

inputType - (undocumented)

outputDataType

protected DataType outputDataType()

Description copied from class: UnaryTransformer

Returns the data type of the output column.

Specified by:

outputDataType in class UnaryTransformer<Vector,Vector,DCT>

Returns:

(undocumented)