org.apache.spark.ml.feature
Class StringIndexerModel

Object
  extended by org.apache.spark.ml.PipelineStage
      extended by org.apache.spark.ml.Transformer
          extended by org.apache.spark.ml.Model<StringIndexerModel>
              extended by 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
 StringIndexerModel copy(ParamMap extra)
          Creates a copy of this instance with the same UID and some extra params.
 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
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, 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
 

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)

copy

public StringIndexerModel 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 Model<StringIndexerModel>
Parameters:
extra - (undocumented)
Returns:
(undocumented)
See Also:
defaultCopy()

validateAndTransformSchema

public StructType validateAndTransformSchema(StructType schema)
Validates and transforms the input schema.