org.tribuo.anomaly.libsvm

Class LibSVMAnomalyModel

java.lang.Object

org.tribuo.Model<T>

org.tribuo.common.libsvm.LibSVMModel<Event>

org.tribuo.anomaly.libsvm.LibSVMAnomalyModel

All Implemented Interfaces:

com.oracle.labs.mlrg.olcut.provenance.Provenancable<ModelProvenance>, Serializable

public class LibSVMAnomalyModel
extends LibSVMModel<Event>

A anomaly detection model that uses an underlying libSVM model to make the predictions.

See:

 Chang CC, Lin CJ.
 "LIBSVM: a library for Support Vector Machines"
 ACM transactions on intelligent systems and technology (TIST), 2011.
 

and for the anomaly detection algorithm:

 Schölkopf B, Platt J, Shawe-Taylor J, Smola A J, Williamson R C.
 "Estimating the support of a high-dimensional distribution"
 Neural Computation, 2001, 1443-1471.
 

See Also:

Serialized Form

Field Summary

Fields inherited from class org.tribuo.common.libsvm.LibSVMModel

models

Fields inherited from class org.tribuo.Model

ALL_OUTPUTS, BIAS_FEATURE, featureIDMap, generatesProbabilities, name, outputIDInfo, provenance, provenanceOutput

Method Summary

Modifier and Type	Method and Description
protected LibSVMAnomalyModel	copy(String newName, ModelProvenance newProvenance) Copies a model, replacing it's provenance and name with the supplied values.
int	getNumberOfSupportVectors() Returns the number of support vectors.
Prediction<Event>	predict(Example<Event> example) Uses the model to predict the output for a single example.

Methods inherited from class org.tribuo.common.libsvm.LibSVMModel

copyModel, getExcuse, getInnerModels, getModel, getTopFeatures

Methods inherited from class org.tribuo.Model

copy, generatesProbabilities, getExcuses, getFeatureIDMap, getName, getOutputIDInfo, getProvenance, innerPredict, predict, predict, setName, toString, validate

Methods inherited from class java.lang.Object

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

Method Detail

getNumberOfSupportVectors

public int getNumberOfSupportVectors()

Returns the number of support vectors.

Returns:

The number of support vectors.

predict

public Prediction<Event> predict(Example<Event> example)

Description copied from class: Model

Uses the model to predict the output for a single example.

predict does not mutate the example.

Throws IllegalArgumentException if the example has no features or no feature overlap with the model.

Specified by:

predict in class Model<Event>

Parameters:

example - the example to predict.

Returns:

the result of the prediction.

copy

protected LibSVMAnomalyModel copy(String newName,
                                  ModelProvenance newProvenance)

Description copied from class: Model

Copies a model, replacing it's provenance and name with the supplied values.

Used to provide the provenance removal functionality.

Specified by:

copy in class Model<Event>

Parameters:

newName - The new name.

newProvenance - The new provenance.

Returns:

A copy of the model.