LibSVMRegressionModel (Tribuo 4.0.2 API)

java.lang.Object

org.tribuo.Model<Regressor>

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

org.tribuo.regression.libsvm.LibSVMRegressionModel

All Implemented Interfaces:: com.oracle.labs.mlrg.olcut.provenance.Provenancable<ModelProvenance>, Serializable

public class LibSVMRegressionModel extends LibSVMModel<Regressor>

A regression model that uses an underlying libSVM model to make the predictions. Contains an independent model for each output dimension.

See:

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

for the nu-svr 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:

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

Description

protected LibSVMRegressionModel

copy(String newName, ModelProvenance newProvenance)

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

Map<String,Integer>

getNumberOfSupportVectors()

Returns the support vectors used for each dimension.

Prediction<Regressor>

predict(Example<Regressor> 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 Details
- getNumberOfSupportVectors
  
  public Map<String,Integer> getNumberOfSupportVectors()
  
  Returns the support vectors used for each dimension.
  
  Returns:
  
  The support vectors.
- predict
  
  public Prediction<Regressor> predict(Example<Regressor> 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<Regressor>
  
  Parameters:
  
  example - the example to predict.
  
  Returns:
  
  the result of the prediction.
- copy
  
  protected LibSVMRegressionModel 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<Regressor>
  
  Parameters:
  
  newName - The new name.
  
  newProvenance - The new provenance.
  
  Returns:
  
  A copy of the model.