org.apache.spark.ml
Class UnaryTransformer<IN,OUT,T extends UnaryTransformer<IN,OUT,T>>

Object
  org.apache.spark.ml.PipelineStage
      org.apache.spark.ml.Transformer
          org.apache.spark.ml.UnaryTransformer<IN,OUT,T>

All Implemented Interfaces:

java.io.Serializable, Logging, Params

Direct Known Subclasses:

ElementwiseProduct, Normalizer, PolynomialExpansion, RegexTokenizer, Tokenizer

public abstract class UnaryTransformer<IN,OUT,T extends UnaryTransformer<IN,OUT,T>>
extends Transformer
implements Logging

:: DeveloperApi :: Abstract class for transformers that take one input column, apply transformation, and output the result as a new column.

See Also:

Serialized Form

Constructor Summary

UnaryTransformer()

Method Summary

T	copy(ParamMap extra) Creates a copy of this instance with the same UID and some extra params.
T	setInputCol(String value)
T	setOutputCol(String value)
DataFrame	transform(DataFrame dataset) Transforms the input dataset.
StructType	transformSchema(StructType schema) :: DeveloperApi ::

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.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, setDefault, shouldOwn, validateParams

Constructor Detail

UnaryTransformer

public UnaryTransformer()

Method Detail

setInputCol

public T setInputCol(String value)

setOutputCol

public T setOutputCol(String value)

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)

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)

copy

public T 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()