org.tribuo.common.libsvm

Class LibSVMModel<T extends Output<T>>

java.lang.Object

org.tribuo.Model<T>

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

All Implemented Interfaces:

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

Direct Known Subclasses:

LibSVMAnomalyModel, LibSVMClassificationModel, LibSVMRegressionModel

public abstract class LibSVMModel<T extends Output<T>>
extends Model<T>
implements Serializable

A 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.
 

for the nu-svm algorithm:

 Schölkopf B, Smola A, Williamson R, Bartlett P L.
 "New support vector algorithms"
 Neural Computation, 2000, 1207-1245.
 

and for the original algorithm:

 Cortes C, Vapnik V.
 "Support-Vector Networks"
 Machine Learning, 1995.
 

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected List<libsvm.svm_model>	models The LibSVM models.

Fields inherited from class org.tribuo.Model

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

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	LibSVMModel(String name, ModelProvenance description, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, boolean generatesProbabilities, List<libsvm.svm_model> models) Constructs a LibSVMModel from the supplied arguments.

Method Summary

Modifier and Type	Method and Description
protected static libsvm.svm_model	copyModel(libsvm.svm_model model) Copies an svm_model, as it does not provide a copy method.
Optional<Excuse<T>>	getExcuse(Example<T> example) Generates an excuse for an example.
List<libsvm.svm_model>	getInnerModels() Returns an unmodifiable copy of the underlying list of libsvm models.
List<libsvm.svm_model>	getModel() Deprecated.
Map<String,List<com.oracle.labs.mlrg.olcut.util.Pair<String,Double>>>	getTopFeatures(int n) Gets the top n features associated with this model.

Methods inherited from class org.tribuo.Model

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

Methods inherited from class java.lang.Object

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

Field Detail

models

protected final List<libsvm.svm_model> models

The LibSVM models. Multiple models are used for multi-label or multidimensional regression outputs.

Constructor Detail

LibSVMModel

protected LibSVMModel(String name,
                      ModelProvenance description,
                      ImmutableFeatureMap featureIDMap,
                      ImmutableOutputInfo<T> outputIDInfo,
                      boolean generatesProbabilities,
                      List<libsvm.svm_model> models)

Constructs a LibSVMModel from the supplied arguments.

Parameters:

name - The model name.

description - The model provenance.

featureIDMap - The features the model knows about.

outputIDInfo - The outputs the model can produce.

generatesProbabilities - Does the model generate probabilities or not?

models - The svm models themselves.

Method Detail

getModel

@Deprecated
public List<libsvm.svm_model> getModel()

Deprecated.

Returns an unmodifiable copy of the underlying list of libsvm models.

Deprecated to unify the names across LibLinear, LibSVM and XGBoost.

Returns:

The underlying model list.

getInnerModels

public List<libsvm.svm_model> getInnerModels()

Returns an unmodifiable copy of the underlying list of libsvm models.

Returns:

The underlying model list.

getTopFeatures

public Map<String,List<com.oracle.labs.mlrg.olcut.util.Pair<String,Double>>> getTopFeatures(int n)

Description copied from class: Model

Gets the top n features associated with this model.

If the model does not produce per output feature lists, it returns a map with a single element with key Model.ALL_OUTPUTS.

If the model cannot describe it's top features then it returns Collections.emptyMap().

Specified by:

getTopFeatures in class Model<T extends Output<T>>

Parameters:

n - the number of features to return. If this value is less than 0, all features should be returned for each class, unless the model cannot score it's features.

Returns:

a map from string outputs to an ordered list of pairs of feature names and weights associated with that feature in the model

getExcuse

public Optional<Excuse<T>> getExcuse(Example<T> example)

Description copied from class: Model

Generates an excuse for an example.

This attempts to explain a classification result. Generating an excuse may be quite an expensive operation.

This excuse either contains per class information or an entry with key Model.ALL_OUTPUTS.

The optional is empty if the model does not provide excuses.

Specified by:

getExcuse in class Model<T extends Output<T>>

Parameters:

example - The input example.

Returns:

An optional excuse object. The optional is empty if this model does not provide excuses.

copyModel

protected static libsvm.svm_model copyModel(libsvm.svm_model model)

Copies an svm_model, as it does not provide a copy method.

Parameters:

model - The svm_model to copy.

Returns:

A deep copy of the model.