Index

C E G I L M O P S T
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

C

copyModel(Model) - Static method in class org.tribuo.common.liblinear.LibLinearModel

Copies the model by writing it out to a String and loading it back in.

cost - Variable in class org.tribuo.common.liblinear.LibLinearTrainer

createModel(ModelProvenance, ImmutableFeatureMap, ImmutableOutputInfo<T>, List<Model>) - Method in class org.tribuo.common.liblinear.LibLinearTrainer

Construct the appropriate subtype of LibLinearModel for the prediction task.

CURRENT_VERSION - Static variable in class org.tribuo.common.liblinear.LibLinearModel

Protobuf serialization version.

E

epsilon - Variable in class org.tribuo.common.liblinear.LibLinearTrainer

exampleToNodes(Example<T>, ImmutableFeatureMap, List<FeatureNode>) - Static method in class org.tribuo.common.liblinear.LibLinearTrainer

Converts a Tribuo Example into a liblinear FeatureNode array, including a bias feature.

extractData(Dataset<T>, ImmutableOutputInfo<T>, ImmutableFeatureMap) - Method in class org.tribuo.common.liblinear.LibLinearTrainer

Extracts the features and Outputs in LibLinear's format.

G

getExcuse(Example<T>) - Method in class org.tribuo.common.liblinear.LibLinearModel

This call is expensive as it copies out the weight matrix from the LibLinear model.

getExcuses(Iterable<Example<T>>) - Method in class org.tribuo.common.liblinear.LibLinearModel

getFeatureWeights() - Method in class org.tribuo.common.liblinear.LibLinearModel

Extracts the feature weights from the models.

getInnerModels() - Method in class org.tribuo.common.liblinear.LibLinearModel

Returns an unmodifiable list containing a copy of each model.

getInvocationCount() - Method in class org.tribuo.common.liblinear.LibLinearTrainer

getProvenance() - Method in class org.tribuo.common.liblinear.LibLinearTrainer

getSolverType() - Method in interface org.tribuo.common.liblinear.LibLinearType

Returns the liblinear enum type.

I

innerGetExcuse(Example<T>, double[][]) - Method in class org.tribuo.common.liblinear.LibLinearModel

The call to getFeatureWeights in the public methods copies the weights array so this inner method exists to save the copy in getExcuses.

isAnomaly() - Method in interface org.tribuo.common.liblinear.LibLinearType

Is this class an anomaly detection algorithm?

isClassification() - Method in interface org.tribuo.common.liblinear.LibLinearType

Is this class a Classification algorithm?

isRegression() - Method in interface org.tribuo.common.liblinear.LibLinearType

Is this class a Regression algorithm?

L

LibLinearModel<T> - Class in org.tribuo.common.liblinear

A Model which wraps a LibLinear-java model.

LibLinearModel(String, ModelProvenance, ImmutableFeatureMap, ImmutableOutputInfo<T>, boolean, List<Model>) - Constructor for class org.tribuo.common.liblinear.LibLinearModel

Constructs a LibLinear model from the supplied arguments.

libLinearParams - Variable in class org.tribuo.common.liblinear.LibLinearTrainer

LibLinearTrainer<T> - Class in org.tribuo.common.liblinear

A Trainer which wraps a liblinear-java trainer.

LibLinearTrainer() - Constructor for class org.tribuo.common.liblinear.LibLinearTrainer

For OLCUT

LibLinearTrainer(LibLinearType<T>, double, int, double) - Constructor for class org.tribuo.common.liblinear.LibLinearTrainer

Creates a trainer for a LibLinear model

LibLinearTrainer(LibLinearType<T>, double, int, double, double) - Constructor for class org.tribuo.common.liblinear.LibLinearTrainer

Creates a trainer for a LibLinear model

LibLinearTrainer(LibLinearType<T>, double, int, double, double, long) - Constructor for class org.tribuo.common.liblinear.LibLinearTrainer

Creates a trainer for a LibLinear model

LibLinearTrainer(LibLinearType<T>, double, int, double, long) - Constructor for class org.tribuo.common.liblinear.LibLinearTrainer

Creates a trainer for a LibLinear model

LibLinearType<T> - Interface in org.tribuo.common.liblinear

A carrier type for the liblinear algorithm type.

M

maxIterations - Variable in class org.tribuo.common.liblinear.LibLinearTrainer

models - Variable in class org.tribuo.common.liblinear.LibLinearModel

The list of LibLinear models.

O

org.tribuo.common.liblinear - package org.tribuo.common.liblinear

Provides base classes for using liblinear from Tribuo.

P

postConfig() - Method in class org.tribuo.common.liblinear.LibLinearTrainer

Used by the OLCUT configuration system, and should not be called by external code.

S

seed - Variable in class org.tribuo.common.liblinear.LibLinearTrainer

serialize() - Method in class org.tribuo.common.liblinear.LibLinearModel

setInvocationCount(int) - Method in class org.tribuo.common.liblinear.LibLinearTrainer

setupParameters(ImmutableOutputInfo<T>) - Method in class org.tribuo.common.liblinear.LibLinearTrainer

Constructs the parameters.

T

terminationCriterion - Variable in class org.tribuo.common.liblinear.LibLinearTrainer

toString() - Method in class org.tribuo.common.liblinear.LibLinearTrainer

train(Dataset<T>) - Method in class org.tribuo.common.liblinear.LibLinearTrainer

train(Dataset<T>, Map<String, Provenance>) - Method in class org.tribuo.common.liblinear.LibLinearTrainer

train(Dataset<T>, Map<String, Provenance>, int) - Method in class org.tribuo.common.liblinear.LibLinearTrainer

trainerType - Variable in class org.tribuo.common.liblinear.LibLinearTrainer

trainModels(Parameter, int, FeatureNode[][], double[][]) - Method in class org.tribuo.common.liblinear.LibLinearTrainer

Train all the liblinear instances necessary for this dataset.

C E G I L M O P S T
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form