Uses of Class
org.tribuo.common.libsvm.LibSVMModel
Package
Description
Provides an interface to LibSVM for anomaly detection problems.
Provides an interface to LibSVM for classification problems.
The base interface to LibSVM.
Provides an interface to LibSVM for regression problems.
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Uses of LibSVMModel in org.tribuo.anomaly.libsvm
Modifier and TypeClassDescriptionclass
A anomaly detection model that uses an underlying libSVM model to make the predictions.Modifier and TypeMethodDescriptionprotected LibSVMModel<Event>
LibSVMAnomalyTrainer.createModel
(ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Event> outputIDInfo, List<libsvm.svm_model> models) LibSVMAnomalyTrainer.train
(Dataset<Event> dataset, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> instanceProvenance) -
Uses of LibSVMModel in org.tribuo.classification.libsvm
Modifier and TypeClassDescriptionclass
A classification model that uses an underlying LibSVM model to make the predictions.Modifier and TypeMethodDescriptionprotected LibSVMModel<Label>
LibSVMClassificationTrainer.createModel
(ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Label> outputIDInfo, List<libsvm.svm_model> models) -
Uses of LibSVMModel in org.tribuo.common.libsvm
Modifier and TypeMethodDescriptionprotected abstract LibSVMModel<T>
LibSVMTrainer.createModel
(ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, List<libsvm.svm_model> models) Construct the appropriate subtype of LibSVMModel for the prediction task.LibSVMTrainer.train
(Dataset<T> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance) LibSVMTrainer.train
(Dataset<T> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance, int invocationCount) -
Uses of LibSVMModel in org.tribuo.regression.libsvm
Modifier and TypeClassDescriptionclass
A regression model that uses an underlying libSVM model to make the predictions.Modifier and TypeMethodDescriptionprotected LibSVMModel<Regressor>
LibSVMRegressionTrainer.createModel
(ModelProvenance provenance, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<Regressor> outputIDInfo, List<libsvm.svm_model> models)