org.apache.spark.ml.feature

Class StringIndexerModel

Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

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

org.apache.spark.ml.feature.StringIndexerModel

All Implemented Interfaces:

java.io.Serializable, Logging, Params

public class StringIndexerModel
extends Model<StringIndexerModel>

:: Experimental :: Model fitted by StringIndexer. NOTE: During transformation, if the input column does not exist, StringIndexerModel.transform would return the input dataset unmodified. This is a temporary fix for the case when target labels do not exist during prediction.

See Also:

Serialized Form

Method Summary

Methods

Modifier and Type	Method and Description
StringIndexerModel	setInputCol(String value)
StringIndexerModel	setOutputCol(String value)
DataFrame	transform(DataFrame dataset) Transforms the input dataset.
StructType	transformSchema(StructType schema) :: DeveloperApi ::
String	uid()
StructType	validateAndTransformSchema(StructType schema) Validates and transforms the input schema.

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

copy, hasParent, parent, setParent

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, copy, copyValues, 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

Method Detail

uid

public String uid()

setInputCol

public StringIndexerModel setInputCol(String value)

setOutputCol

public StringIndexerModel setOutputCol(String value)

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)

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)

validateAndTransformSchema

public StructType validateAndTransformSchema(StructType schema)

Validates and transforms the input schema.