org.apache.spark.ml.feature

Class StandardScalerModel

Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

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

org.apache.spark.ml.feature.StandardScalerModel

All Implemented Interfaces:

java.io.Serializable, Logging, StandardScalerParams, Identifiable, HasInputCol, HasOutputCol, Params

public class StandardScalerModel
extends Model<StandardScalerModel>
implements StandardScalerParams

:: AlphaComponent :: Model fitted by StandardScaler.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
StandardScalerModel(StandardScaler parent, ParamMap fittingParamMap, StandardScalerModel scaler)

Method Summary

Methods

Modifier and Type	Method and Description
ParamMap	fittingParamMap() Fitting parameters, such that parent.fit(..., fittingParamMap) could reproduce the model.
StandardScaler	parent() The parent estimator that produced this model.
StandardScalerModel	setInputCol(String value)
StandardScalerModel	setOutputCol(String value)
DataFrame	transform(DataFrame dataset, ParamMap paramMap) Transforms the dataset with provided parameter map as additional parameters.
StructType	transformSchema(StructType schema, ParamMap paramMap) :: DeveloperApi ::

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

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.HasInputCol

getInputCol, inputCol

Methods inherited from interface org.apache.spark.ml.param.HasOutputCol

getOutputCol, outputCol

Methods inherited from interface org.apache.spark.ml.param.Params

addOutputColumn, checkInputColumn, explainParams, get, getParam, isSet, paramMap, params, set, set, validate, validate

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

uid

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

StandardScalerModel

public StandardScalerModel(StandardScaler parent,
                   ParamMap fittingParamMap,
                   StandardScalerModel scaler)

Method Detail

parent

public StandardScaler parent()

Description copied from class: Model

The parent estimator that produced this model.

Specified by:

parent in class Model<StandardScalerModel>

fittingParamMap

public ParamMap fittingParamMap()

Description copied from class: Model

Fitting parameters, such that parent.fit(..., fittingParamMap) could reproduce the model.

Specified by:

fittingParamMap in class Model<StandardScalerModel>

setInputCol

public StandardScalerModel setInputCol(String value)

setOutputCol

public StandardScalerModel setOutputCol(String value)

transform

public DataFrame transform(DataFrame dataset,
                  ParamMap paramMap)

Description copied from class: Transformer

Transforms the dataset with provided parameter map as additional parameters.

Specified by:

transform in class Transformer

Parameters:

dataset - input dataset

paramMap - additional parameters, overwrite embedded params

Returns:

transformed dataset

transformSchema

public StructType transformSchema(StructType schema,
                         ParamMap paramMap)

Description copied from class: PipelineStage

:: DeveloperApi ::

Derives the output schema from the input schema and parameters. The schema describes the columns and types of the data.

Specified by:

transformSchema in class PipelineStage

Parameters:

schema - Input schema to this stage

paramMap - Parameters passed to this stage

Returns:

Output schema from this stage