org.apache.spark.ml
Class Transformer

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

All Implemented Interfaces:

java.io.Serializable, Logging, Params

Direct Known Subclasses:

Binarizer, HashingTF, Model, OneHotEncoder, UnaryTransformer, VectorAssembler

public abstract class Transformer
extends PipelineStage

:: DeveloperApi :: Abstract class for transformers that transform one dataset into another.

See Also:

Serialized Form

Constructor Summary

Transformer()

Method Summary

abstract Transformer	copy(ParamMap extra) Creates a copy of this instance with the same UID and some extra params.
abstract DataFrame	transform(DataFrame dataset) Transforms the input dataset.
DataFrame	transform(DataFrame dataset, ParamMap paramMap) Transforms the dataset with provided parameter map as additional parameters.
DataFrame	transform(DataFrame dataset, ParamPair<?> firstParamPair, ParamPair<?>... otherParamPairs) Transforms the dataset with optional parameters
DataFrame	transform(DataFrame dataset, ParamPair<?> firstParamPair, scala.collection.Seq<ParamPair<?>> otherParamPairs) Transforms the dataset with optional parameters

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

transformSchema

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

Transformer

public Transformer()

Method Detail

transform

public DataFrame transform(DataFrame dataset,
                           ParamPair<?> firstParamPair,
                           ParamPair<?>... otherParamPairs)

Transforms the dataset with optional parameters

Parameters:

dataset - input dataset

firstParamPair - the first param pair, overwrite embedded params

otherParamPairs - other param pairs, overwrite embedded params

Returns:

transformed dataset

transform

public DataFrame transform(DataFrame dataset,
                           ParamPair<?> firstParamPair,
                           scala.collection.Seq<ParamPair<?>> otherParamPairs)

Transforms the dataset with optional parameters

Parameters:

dataset - input dataset

firstParamPair - the first param pair, overwrite embedded params

otherParamPairs - other param pairs, overwrite embedded params

Returns:

transformed dataset

transform

public DataFrame transform(DataFrame dataset,
                           ParamMap paramMap)

Transforms the dataset with provided parameter map as additional parameters.

Parameters:

dataset - input dataset

paramMap - additional parameters, overwrite embedded params

Returns:

transformed dataset

transform

public abstract DataFrame transform(DataFrame dataset)

Transforms the input dataset.

Parameters:

dataset - (undocumented)

Returns:

(undocumented)

copy

public abstract Transformer 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 PipelineStage

Parameters:

extra - (undocumented)

Returns:

(undocumented)

See Also:

defaultCopy()