smile.imputation

Class AverageImputation

java.lang.Object

smile.imputation.AverageImputation

All Implemented Interfaces:

MissingValueImputation

public class AverageImputation
extends java.lang.Object
implements MissingValueImputation

Impute missing values with the average of other attributes in the instance. Assume the attributes of the dataset are of same kind, e.g. microarray gene expression data, the missing values can be estimated as the average of non-missing attributes in the same instance. Note that this is not the average of same attribute across different instances.

Constructor Summary

Constructors

Constructor and Description
AverageImputation() 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

AverageImputation

public AverageImputation()

Constructor.

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