Index (Classification-LibLinear 4.3.2 API)

C D E G I L M O P S T V W
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C

copy(String, ModelProvenance) - Method in class org.tribuo.classification.liblinear.LibLinearClassificationModel
createModel(ModelProvenance, ImmutableFeatureMap, ImmutableOutputInfo<Label>, List<Model>) - Method in class org.tribuo.classification.liblinear.LibLinearClassificationTrainer

D

deserializeFromProto(int, String, Any) - Static method in class org.tribuo.classification.liblinear.LibLinearClassificationModel: Deserialization factory.

E

ensembleOptions - Variable in class org.tribuo.classification.liblinear.TrainTest.TrainTestOptions: The ensemble options.
exportONNXModel(String, long) - Method in class org.tribuo.classification.liblinear.LibLinearClassificationModel
extractData(Dataset<Label>, ImmutableOutputInfo<Label>, ImmutableFeatureMap) - Method in class org.tribuo.classification.liblinear.LibLinearClassificationTrainer

G

general - Variable in class org.tribuo.classification.liblinear.TrainTest.TrainTestOptions: The data loading options.
getFeatureWeights() - Method in class org.tribuo.classification.liblinear.LibLinearClassificationModel
getOptionsDescription() - Method in class org.tribuo.classification.liblinear.LibLinearOptions
getOptionsDescription() - Method in class org.tribuo.classification.liblinear.TrainTest.TrainTestOptions
getProvenance() - Method in class org.tribuo.classification.liblinear.LinearClassificationType
getSolverType() - Method in class org.tribuo.classification.liblinear.LinearClassificationType
getSolverType() - Method in enum org.tribuo.classification.liblinear.LinearClassificationType.LinearType: Gets the LibLinear solver type.
getTopFeatures(int) - Method in class org.tribuo.classification.liblinear.LibLinearClassificationModel
getTrainer() - Method in class org.tribuo.classification.liblinear.LibLinearOptions

I

innerGetExcuse(Example<Label>, double[][]) - Method in class org.tribuo.classification.liblinear.LibLinearClassificationModel: The call to model.getFeatureWeights in the public methods copies the weights array so this inner method exists to save the copy in getExcuses.
isAnomaly() - Method in class org.tribuo.classification.liblinear.LinearClassificationType
isClassification() - Method in class org.tribuo.classification.liblinear.LinearClassificationType
isRegression() - Method in class org.tribuo.classification.liblinear.LinearClassificationType

L

L1R_L2LOSS_SVC - Enum constant in enum org.tribuo.classification.liblinear.LinearClassificationType.LinearType: L1-regularized L2-loss support vector classification
L1R_LR - Enum constant in enum org.tribuo.classification.liblinear.LinearClassificationType.LinearType: L1-regularized logistic regression
L2R_L1LOSS_SVC_DUAL - Enum constant in enum org.tribuo.classification.liblinear.LinearClassificationType.LinearType: L2-regularized L1-loss support vector classification (dual)
L2R_L2LOSS_SVC - Enum constant in enum org.tribuo.classification.liblinear.LinearClassificationType.LinearType: L2-regularized L2-loss support vector classification (primal)
L2R_L2LOSS_SVC_DUAL - Enum constant in enum org.tribuo.classification.liblinear.LinearClassificationType.LinearType: L2-regularized L2-loss support vector classification (dual)
L2R_LR - Enum constant in enum org.tribuo.classification.liblinear.LinearClassificationType.LinearType: L2-regularized logistic regression (primal)
L2R_LR_DUAL - Enum constant in enum org.tribuo.classification.liblinear.LinearClassificationType.LinearType: L2-regularized logistic regression (dual)
LibLinearClassificationModel - Class in org.tribuo.classification.liblinear: A Model which wraps a LibLinear-java classification model.
LibLinearClassificationTrainer - Class in org.tribuo.classification.liblinear: A Trainer which wraps a liblinear-java classifier trainer.
LibLinearClassificationTrainer() - Constructor for class org.tribuo.classification.liblinear.LibLinearClassificationTrainer: Creates a trainer using the default values (LinearClassificationType.LinearType.L2R_L2LOSS_SVC_DUAL, 1, 0.1, Trainer.DEFAULT_SEED).
LibLinearClassificationTrainer(LinearClassificationType, double, double) - Constructor for class org.tribuo.classification.liblinear.LibLinearClassificationTrainer: Creates a trainer for a LibLinearClassificationModel.
LibLinearClassificationTrainer(LinearClassificationType, double, int, double) - Constructor for class org.tribuo.classification.liblinear.LibLinearClassificationTrainer: Creates a trainer for a LibLinear model
LibLinearClassificationTrainer(LinearClassificationType, double, int, double, long) - Constructor for class org.tribuo.classification.liblinear.LibLinearClassificationTrainer: Creates a trainer for a LibLinear model
libLinearOptions - Variable in class org.tribuo.classification.liblinear.TrainTest.TrainTestOptions: The liblinear options.
LibLinearOptions - Class in org.tribuo.classification.liblinear: Command line options for working with a classification liblinear model.
LibLinearOptions() - Constructor for class org.tribuo.classification.liblinear.LibLinearOptions
LinearClassificationType - Class in org.tribuo.classification.liblinear: The carrier type for liblinear classification modes.
LinearClassificationType(LinearClassificationType.LinearType) - Constructor for class org.tribuo.classification.liblinear.LinearClassificationType: Constructs a LinearClassificationType using the supplied algorithm.
LinearClassificationType.LinearType - Enum in org.tribuo.classification.liblinear: The different model types available for classification.

M

main(String[]) - Static method in class org.tribuo.classification.liblinear.TrainTest: Runs a TrainTest CLI.
MCSVM_CS - Enum constant in enum org.tribuo.classification.liblinear.LinearClassificationType.LinearType: multi-class support vector classification by Crammer and Singer

O

org.tribuo.classification.liblinear - package org.tribuo.classification.liblinear: Provides an interface to LibLinear-java for classification problems.

P

postConfig() - Method in class org.tribuo.classification.liblinear.LibLinearClassificationTrainer: Used by the OLCUT configuration system, and should not be called by external code.
predict(Example<Label>) - Method in class org.tribuo.classification.liblinear.LibLinearClassificationModel

S

setLabelWeights(Map<Label, Float>) - Method in class org.tribuo.classification.liblinear.LibLinearClassificationTrainer
setupParameters(ImmutableOutputInfo<Label>) - Method in class org.tribuo.classification.liblinear.LibLinearClassificationTrainer

T

trainModels(Parameter, int, FeatureNode[][], double[][]) - Method in class org.tribuo.classification.liblinear.LibLinearClassificationTrainer
TrainTest - Class in org.tribuo.classification.liblinear: Build and run a liblinear-java classifier for a standard dataset.
TrainTest() - Constructor for class org.tribuo.classification.liblinear.TrainTest
TrainTest.TrainTestOptions - Class in org.tribuo.classification.liblinear: Command line options.
TrainTestOptions() - Constructor for class org.tribuo.classification.liblinear.TrainTest.TrainTestOptions

V

valueOf(String) - Static method in enum org.tribuo.classification.liblinear.LinearClassificationType.LinearType: Returns the enum constant of this type with the specified name.
values() - Static method in enum org.tribuo.classification.liblinear.LinearClassificationType.LinearType: Returns an array containing the constants of this enum type, in the order they are declared.

W

writeONNXGraph(ONNXRef<?>) - Method in class org.tribuo.classification.liblinear.LibLinearClassificationModel

C D E G I L M O P S T V W
All Classes and Interfaces|All Packages|Serialized Form