smile.imputation

Class LLSImputation

java.lang.Object

smile.imputation.LLSImputation

All Implemented Interfaces:

MissingValueImputation

public class LLSImputation
extends Object
implements MissingValueImputation

Local least squares missing value imputation. The local least squares imputation method represents a target instance that has missing values as a linear combination of similar instances, which are selected by k-nearest neighbors method.

Author:

Haifeng Li

Constructor Summary

Constructors

Constructor and Description
LLSImputation(int k) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
void	impute(double[][] data) Impute missing values in the dataset.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

LLSImputation

public LLSImputation(int k)

Constructor.

Parameters:

k - the number of similar rows used for imputation.

Method Detail

impute

public void impute(double[][] data)
            throws MissingValueImputationException

Description copied from interface: MissingValueImputation

Impute missing values in the dataset.

Specified by:

impute in interface MissingValueImputation

Parameters:

data - a data set with missing values (represented as Double.NaN). On output, missing values are filled with estimated values.

Throws:

MissingValueImputationException