magpie.data.utilities.modifiers.duplicates

Class AveragingDuplicateResolver

java.lang.Object

magpie.data.utilities.modifiers.BaseDatasetModifier

magpie.data.utilities.modifiers.duplicates.BaseDuplicateResolver

magpie.data.utilities.modifiers.duplicates.AveragingDuplicateResolver

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, Options

public class AveragingDuplicateResolver
extends BaseDuplicateResolver

Resolve entries by averaging the duplicates. For continuous properties or classes, the average of all entries is taken. For discrete properties, the class with the lowest index out of all classes with most examples is selected.

Usage: *No options*

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
AveragingDuplicateResolver()

Method Summary

Modifier and Type	Method and Description
protected static double	getNewClass(Dataset data, java.util.List<BaseEntry> entries) Get the average of the measured class of an entry.
java.lang.String	printUsage() Print out required format for options.
protected static BaseEntry	resolveBaseEntry(Dataset data, java.util.List<BaseEntry> entries) Average base entries.
protected BaseEntry	resolveDuplicates(Dataset data, java.util.List<BaseEntry> entries) Given a list of duplicate entries, pick a representative entry or generate a new one
protected static BaseEntry	resolveMultipropertyEntry(Dataset data, java.util.List<BaseEntry> entries) Average each property of a MultiPropertyEntry
void	setOptions(java.util.List<java.lang.Object> Options) Set any options for this object.

Methods inherited from class magpie.data.utilities.modifiers.duplicates.BaseDuplicateResolver

modifyDataset

Methods inherited from class magpie.data.utilities.modifiers.BaseDatasetModifier

transform

Methods inherited from class java.lang.Object

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

Constructor Detail

AveragingDuplicateResolver

public AveragingDuplicateResolver()

Method Detail

setOptions

public void setOptions(java.util.List<java.lang.Object> Options)
                throws java.lang.Exception

Description copied from interface: Options

Set any options for this object. If parsing the options fails, return an Exception with the usage as its message.

Parameters:

Options - Array of options as Objects - can be null

Throws:

java.lang.Exception - if problem with inputs

printUsage

public java.lang.String printUsage()

Description copied from interface: Options

Print out required format for options. For consistency, should start with "Usage: ".

Returns:

Usage for this function

resolveDuplicates

protected BaseEntry resolveDuplicates(Dataset data,
                                      java.util.List<BaseEntry> entries)

Description copied from class: BaseDuplicateResolver

Given a list of duplicate entries, pick a representative entry or generate a new one

Specified by:

resolveDuplicates in class BaseDuplicateResolver

Parameters:

data - Dataset being resolved

entries - List of duplicate entries

Returns:

The one true entry

resolveBaseEntry

protected static BaseEntry resolveBaseEntry(Dataset data,
                                            java.util.List<BaseEntry> entries)

Average base entries.

Parameters:

data - Dataset containing these entries

entries - List of classes that are BaseEntry objects

Returns:

A single selection

resolveMultipropertyEntry

protected static BaseEntry resolveMultipropertyEntry(Dataset data,
                                                     java.util.List<BaseEntry> entries)

Average each property of a MultiPropertyEntry

Parameters:

data - Dataset containing these entries

entries - List of classes that are BaseEntry objects

Returns:

A single selection

getNewClass

protected static double getNewClass(Dataset data,
                                    java.util.List<BaseEntry> entries)

Get the average of the measured class of an entry. For continuous classes, computes average of all entries. For discrete, takes the lowest-index class of all that occur the most frequently (ex: if class #0 and #1 both appear the most, 0 is selected)

Parameters:

data - Dataset being resolved

entries - Duplicate entries

Returns:

New class value, or NaN if no duplicates have a measured value