Package | Description |
---|---|
org.tribuo.anomaly.libsvm |
Provides an interface to LibSVM for anomaly detection problems.
|
org.tribuo.classification.libsvm |
Provides an interface to LibSVM for classification problems.
|
org.tribuo.common.libsvm |
The base interface to LibSVM.
|
org.tribuo.regression.libsvm |
Provides an interface to LibSVM for regression problems.
|
Modifier and Type | Class and Description |
---|---|
class |
LibSVMAnomalyModel
A anomaly detection model that uses an underlying libSVM model to make the
predictions.
|
Modifier and Type | Method and Description |
---|---|
protected LibSVMModel<Event> |
LibSVMAnomalyTrainer.createModel(ModelProvenance provenance,
ImmutableFeatureMap featureIDMap,
ImmutableOutputInfo<Event> outputIDInfo,
List<libsvm.svm_model> models) |
LibSVMModel<Event> |
LibSVMAnomalyTrainer.train(Dataset<Event> dataset,
Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> instanceProvenance) |
Modifier and Type | Class and Description |
---|---|
class |
LibSVMClassificationModel
A classification model that uses an underlying LibSVM model to make the
predictions.
|
Modifier and Type | Method and Description |
---|---|
protected LibSVMModel<Label> |
LibSVMClassificationTrainer.createModel(ModelProvenance provenance,
ImmutableFeatureMap featureIDMap,
ImmutableOutputInfo<Label> outputIDInfo,
List<libsvm.svm_model> models) |
Modifier and Type | Method and Description |
---|---|
protected 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.
|
LibSVMModel<T> |
LibSVMTrainer.train(Dataset<T> examples) |
LibSVMModel<T> |
LibSVMTrainer.train(Dataset<T> examples,
Map<String,com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance) |
Modifier and Type | Class and Description |
---|---|
class |
LibSVMRegressionModel
A regression model that uses an underlying libSVM model to make the
predictions.
|
Modifier and Type | Method and Description |
---|---|
protected LibSVMModel<Regressor> |
LibSVMRegressionTrainer.createModel(ModelProvenance provenance,
ImmutableFeatureMap featureIDMap,
ImmutableOutputInfo<Regressor> outputIDInfo,
List<libsvm.svm_model> models) |
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