Class LibSVMAnomalyModel
- All Implemented Interfaces:
com.oracle.labs.mlrg.olcut.provenance.Provenancable<ModelProvenance>,Serializable,ProtoSerializable<org.tribuo.protos.core.ModelProto>
An 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:
-
Field Summary
FieldsModifier and TypeFieldDescriptionstatic final intProtobuf serialization version.Fields inherited from class org.tribuo.common.libsvm.LibSVMModel
modelsFields inherited from class org.tribuo.Model
ALL_OUTPUTS, BIAS_FEATURE, featureIDMap, generatesProbabilities, name, outputIDInfo, provenance, provenanceOutputFields inherited from interface org.tribuo.protos.ProtoSerializable
DESERIALIZATION_METHOD_NAME, PROVENANCE_SERIALIZER -
Method Summary
Modifier and TypeMethodDescriptionprotected LibSVMAnomalyModelcopy(String newName, ModelProvenance newProvenance) Copies a model, replacing its provenance and name with the supplied values.static LibSVMAnomalyModeldeserializeFromProto(int version, String className, com.google.protobuf.Any message) Deserialization factory.intReturns the number of support vectors.Uses the model to predict the output for a single example.org.tribuo.protos.core.ModelProtoSerializes this object to a protobuf.Methods inherited from class org.tribuo.common.libsvm.LibSVMModel
copyModel, deserializeModel, deserializeParameters, getExcuse, getInnerModels, getModel, getTopFeatures, modelEquals, serializeModel, serializeParametersMethods inherited from class org.tribuo.Model
castModel, copy, createDataCarrier, deserialize, deserializeFromFile, deserializeFromStream, generatesProbabilities, getExcuses, getFeatureIDMap, getName, getOutputIDInfo, getProvenance, innerPredict, predict, predict, serializeToFile, serializeToStream, setName, toString, validate
-
Field Details
-
CURRENT_VERSION
public static final int CURRENT_VERSIONProtobuf serialization version.- See Also:
-
-
Method Details
-
deserializeFromProto
public static LibSVMAnomalyModel deserializeFromProto(int version, String className, com.google.protobuf.Any message) throws com.google.protobuf.InvalidProtocolBufferException Deserialization factory.- Parameters:
version- The serialized object version.className- The class name.message- The serialized data.- Returns:
- The deserialized object.
- Throws:
com.google.protobuf.InvalidProtocolBufferException- If the protobuf could not be parsed from themessage.
-
getNumberOfSupportVectors
public int getNumberOfSupportVectors()Returns the number of support vectors.- Returns:
- The number of support vectors.
-
predict
Description copied from class:ModelUses the model to predict the output for a single example.predict does not mutate the example.
Throws
IllegalArgumentExceptionif the example has no features or no feature overlap with the model. -
copy
Description copied from class:ModelCopies a model, replacing its provenance and name with the supplied values.Used to provide the provenance removal functionality.
-
serialize
public org.tribuo.protos.core.ModelProto serialize()Description copied from interface:ProtoSerializableSerializes this object to a protobuf.- Specified by:
serializein interfaceProtoSerializable<org.tribuo.protos.core.ModelProto>- Overrides:
serializein classModel<Event>- Returns:
- The protobuf.
-