Given a dataset of a particular datatype, replace user-specified missing value with a variable dependent on the StrategyType and MapperType. More...

#include <imputer.hpp>

Public Member Functions
	Imputer (MapperType mapper, bool columnMajor=true)

	Imputer (MapperType mapper, StrategyType strategy, bool columnMajor=true)

void	Impute (arma::Mat< T > &input, const std::string &missingValue, const size_t dimension)
	Given an input dataset, replace missing values of a dimension with given imputation strategy. More...

const StrategyType &	Strategy () const
	Get the strategy.

StrategyType &	Strategy ()
	Modify the given strategy.

const MapperType &	Mapper () const
	Get the mapper.

MapperType &	Mapper ()
	Modify the given mapper.

Detailed Description

Given a dataset of a particular datatype, replace user-specified missing value with a variable dependent on the StrategyType and MapperType.

Template Parameters

T	Type of armadillo matrix used for imputation strategy.
MapperType	DatasetMapper that is used to hold dataset information.
StrategyType	Imputation strategy used.

Member Function Documentation

template<typename T , typename MapperType , typename StrategyType >

void mlpack::data::Imputer< T, MapperType, StrategyType >::Impute	(	arma::Mat< T > &	input,
		const std::string &	missingValue,
		const size_t	dimension
	)

inline

Given an input dataset, replace missing values of a dimension with given imputation strategy.

This function does not produce output matrix, but overwrites the result into the input matrix.

Parameters

input	Input dataset to apply imputation.
missingValue	User defined missing value; it can be anything.
dimension	Dimension to apply the imputation.

The documentation for this class was generated from the following file: