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, Params, Identifiable

Direct Known Subclasses:

DCT, ElementwiseProduct, NGram, Normalizer, PolynomialExpansion, RegexTokenizer, Tokenizer

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

:: 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

Constructors

Constructor and Description
UnaryTransformer()

Method Summary

Methods

Modifier and Type	Method and Description
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)
Dataset<Row>	transform(Dataset<?> 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.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

Methods inherited from interface org.apache.spark.ml.util.Identifiable

toString, uid

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 ::

Check transform validity and derive the output schema from the input schema.

We check validity for interactions between parameters during transformSchema and raise an exception if any parameter value is invalid. Parameter value checks which do not depend on other parameters are handled by Param.validate().

Typical implementation should first conduct verification on schema change and parameter validity, including complex parameter interaction checks.

Specified by:

transformSchema in class PipelineStage

Parameters:

schema - (undocumented)

Returns:

(undocumented)

transform

public Dataset<Row> transform(Dataset<?> 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. See defaultCopy().

Specified by:

copy in interface Params

Specified by:

copy in class Transformer

Parameters:

extra - (undocumented)

Returns:

(undocumented)