smile.imputation

Class LLSImputation

java.lang.Object

smile.imputation.LLSImputation

All Implemented Interfaces:

MissingValueImputation

public class LLSImputation
extends java.lang.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.

Constructor Summary

Constructors

Constructor and Description
LLSImputation(int k) Constructor.

Method Summary

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

Methods inherited from class java.lang.Object

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

Methods inherited from interface smile.imputation.MissingValueImputation

imputeWithColumnAverage

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 data.

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