Catalano.MachineLearning.Dataset.Imputation

Class FillMissingValues

java.lang.Object

Catalano.MachineLearning.Dataset.Imputation.FillMissingValues

All Implemented Interfaces:

IImputation

public class FillMissingValues
extends java.lang.Object
implements IImputation

Fill missing values in the dataset. Support: Continuous values.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	FillMissingValues.Mode

Constructor Summary

Constructors

Constructor and Description
FillMissingValues() Initializes a new instance of the FillMissingValues class.
FillMissingValues(FillMissingValues.Mode mode) Initializes a new instance of the FillMissingValues class.

Method Summary

Modifier and Type	Method and Description
void	ApplyInPlace(IDataset dataset) Apply filter.

Methods inherited from class java.lang.Object

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

Constructor Detail

FillMissingValues

public FillMissingValues()

Initializes a new instance of the FillMissingValues class.

FillMissingValues

public FillMissingValues(FillMissingValues.Mode mode)

Initializes a new instance of the FillMissingValues class.

Parameters:

mode - Mode.

Method Detail

ApplyInPlace

public void ApplyInPlace(IDataset dataset)

Description copied from interface: IImputation

Apply filter.

Specified by:

ApplyInPlace in interface IImputation

Parameters:

dataset - Dataset.