org.apache.spark.ml.feature

Interface ImputerParams

All Superinterfaces:

HasInputCols, HasOutputCols, Identifiable, Params, java.io.Serializable

All Known Implementing Classes:

Imputer, ImputerModel

public interface ImputerParams
extends Params, HasInputCols, HasOutputCols

Params for Imputer and ImputerModel.

Method Summary

Modifier and Type	Method and Description
double	getMissingValue()
String	getStrategy()
DoubleParam	missingValue() The placeholder for the missing values.
Param<String>	strategy() The imputation strategy.
StructType	validateAndTransformSchema(StructType schema) Validates and transforms the input schema.

Methods inherited from interface org.apache.spark.ml.param.shared.HasInputCols

getInputCols, inputCols

Methods inherited from interface org.apache.spark.ml.param.shared.HasOutputCols

getOutputCols, outputCols

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

clear, copy, 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

Method Detail

getMissingValue

double getMissingValue()

getStrategy

String getStrategy()

missingValue

DoubleParam missingValue()

The placeholder for the missing values. All occurrences of missingValue will be imputed. Note that null values are always treated as missing. Default: Double.NaN

Returns:

(undocumented)

strategy

Param<String> strategy()

The imputation strategy. Currently only "mean" and "median" are supported. If "mean", then replace missing values using the mean value of the feature. If "median", then replace missing values using the approximate median value of the feature. Default: mean

Returns:

(undocumented)

validateAndTransformSchema

StructType validateAndTransformSchema(StructType schema)

Validates and transforms the input schema.