de.lmu.ifi.dbs.elki.algorithm.outlier.trivial

Class TrivialGeneratedOutlier

java.lang.Object

de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm<OutlierResult>

de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialGeneratedOutlier

All Implemented Interfaces:

Algorithm, OutlierAlgorithm, InspectionUtilFrequentlyScanned, Parameterizable

public class TrivialGeneratedOutlier
extends AbstractAlgorithm<OutlierResult>
implements OutlierAlgorithm

Extract outlier score from the model the objects were generated by. This algorithm can only be applied to data that was freshly generated, to the generator model information is still available.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	TrivialGeneratedOutlier.Parameterizer Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
(package private) double	expect Expected share of outliers.
static OptionID	EXPECT_ID Expected share of outliers
private static Logging	LOG Class logger

Constructor Summary

Constructors

Constructor and Description
TrivialGeneratedOutlier() Constructor.
TrivialGeneratedOutlier(double expect) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
TypeInformation[]	getInputTypeRestriction() Get the input type restriction used for negotiating the data query.
protected Logging	getLogger() Get the (STATIC) logger for this class.
OutlierResult	run(Database database) Runs the algorithm.
OutlierResult	run(Relation<Model> models, Relation<NumberVector<?>> vecs, Relation<?> labels) Run the algorithm

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm

makeParameterDistanceFunction

Methods inherited from class java.lang.Object

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

Field Detail

LOG

private static final Logging LOG

Class logger

EXPECT_ID

public static final OptionID EXPECT_ID

Expected share of outliers

expect

double expect

Expected share of outliers.

Constructor Detail

TrivialGeneratedOutlier

public TrivialGeneratedOutlier(double expect)

Constructor.

Parameters:

expect - Expected share of outliers

TrivialGeneratedOutlier

public TrivialGeneratedOutlier()

Constructor.

Method Detail

getInputTypeRestriction

public TypeInformation[] getInputTypeRestriction()

Description copied from class: AbstractAlgorithm

Get the input type restriction used for negotiating the data query.

Specified by:

getInputTypeRestriction in interface Algorithm

Specified by:

getInputTypeRestriction in class AbstractAlgorithm<OutlierResult>

Returns:

Type restriction

run

public OutlierResult run(Database database)

Description copied from interface: Algorithm

Runs the algorithm.

Specified by:

run in interface Algorithm

Specified by:

run in interface OutlierAlgorithm

Overrides:

run in class AbstractAlgorithm<OutlierResult>

Parameters:

database - the database to run the algorithm on

Returns:

the Result computed by this algorithm

run

public OutlierResult run(Relation<Model> models,
                Relation<NumberVector<?>> vecs,
                Relation<?> labels)

Run the algorithm

Parameters:

models - Model relation

vecs - Vector relation

labels - Label relation

Returns:

Outlier result

getLogger

protected Logging getLogger()

Description copied from class: AbstractAlgorithm

Get the (STATIC) logger for this class.

Specified by:

getLogger in class AbstractAlgorithm<OutlierResult>

Returns:

the static logger