Index

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

C

copyModel(svm_model) - Static method in class org.tribuo.common.libsvm.LibSVMModel

Copies an svm_model, as it does not provide a copy method.

copyParameters(svm_parameter) - Static method in class org.tribuo.common.libsvm.SVMParameters

Deep copy of the svm_parameters including the arrays.

createModel(ModelProvenance, ImmutableFeatureMap, ImmutableOutputInfo<T>, List<svm_model>) - Method in class org.tribuo.common.libsvm.LibSVMTrainer

Construct the appropriate subtype of LibSVMModel for the prediction task.

D

deserializeModel(SVMModelProto) - Static method in class org.tribuo.common.libsvm.LibSVMModel

Deserializes a LibSVM svm_model from a protobuf.

deserializeParameters(SVMParameterProto) - Static method in class org.tribuo.common.libsvm.LibSVMModel

Deserializes svm_parameter from a protobuf.

E

exampleToNodes(Example<T>, ImmutableFeatureMap, List<svm_node>) - Static method in class org.tribuo.common.libsvm.LibSVMTrainer

Convert the example into an array of svm_node which represents a sparse feature vector.

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

Extracts the features and Outputs in LibSVM's format.

G

getExcuse(Example<T>) - Method in class org.tribuo.common.libsvm.LibSVMModel

getGamma() - Method in class org.tribuo.common.libsvm.SVMParameters

Gets the gamma value.

getInnerModels() - Method in class org.tribuo.common.libsvm.LibSVMModel

Returns an unmodifiable copy of the underlying list of libsvm models.

getInvocationCount() - Method in class org.tribuo.common.libsvm.LibSVMTrainer

getKernelType() - Method in class org.tribuo.common.libsvm.SVMParameters

Gets the kernel type.

getKernelType(int) - Static method in enum org.tribuo.common.libsvm.KernelType

Converts the LibSVM int id into the enum value.

getModel() - Method in class org.tribuo.common.libsvm.LibSVMModel

Deprecated.

Deprecated to unify the names across LibLinear, LibSVM and XGBoost.

getNativeType() - Method in enum org.tribuo.common.libsvm.KernelType

Gets LibSVM's int id.

getNativeType() - Method in interface org.tribuo.common.libsvm.SVMType

The LibSVM int id for the algorithm.

getParameters() - Method in class org.tribuo.common.libsvm.SVMParameters

Gets the underlying SVM parameter object.

getProvenance() - Method in class org.tribuo.common.libsvm.LibSVMTrainer

getSvmType() - Method in class org.tribuo.common.libsvm.SVMParameters

Gets the SVM type.

getTopFeatures(int) - Method in class org.tribuo.common.libsvm.LibSVMModel

I

isAnomaly() - Method in interface org.tribuo.common.libsvm.SVMType

Is this an anomaly detection algorithm.

isClassification() - Method in interface org.tribuo.common.libsvm.SVMType

Is this a classification algorithm.

isNu() - Method in interface org.tribuo.common.libsvm.SVMType

Is this a nu-SVM.

isRegression() - Method in interface org.tribuo.common.libsvm.SVMType

Is this a regression algorithm.

K

kernelType - Variable in class org.tribuo.common.libsvm.SVMParameters

The kernel.

KernelType - Enum in org.tribuo.common.libsvm

Kernel types from libsvm.

L

LibSVMModel<T> - Class in org.tribuo.common.libsvm

A model that uses an underlying libSVM model to make the predictions.

LibSVMModel(String, ModelProvenance, ImmutableFeatureMap, ImmutableOutputInfo<T>, boolean, List<svm_model>) - Constructor for class org.tribuo.common.libsvm.LibSVMModel

Constructs a LibSVMModel from the supplied arguments.

LibSVMTrainer<T> - Class in org.tribuo.common.libsvm

A trainer that will train using libsvm's Java implementation.

LibSVMTrainer() - Constructor for class org.tribuo.common.libsvm.LibSVMTrainer

For olcut.

LibSVMTrainer(SVMParameters<T>, long) - Constructor for class org.tribuo.common.libsvm.LibSVMTrainer

Constructs a LibSVMTrainer from the parameters.

LINEAR - Enum constant in enum org.tribuo.common.libsvm.KernelType

A linear kernel function (i.e., a dot product).

M

modelEquals(svm_model, svm_model) - Static method in class org.tribuo.common.libsvm.LibSVMModel

Checks for equality between two svm_models.

models - Variable in class org.tribuo.common.libsvm.LibSVMModel

The LibSVM models.

O

org.tribuo.common.libsvm - package org.tribuo.common.libsvm

The base interface to LibSVM.

P

parameters - Variable in class org.tribuo.common.libsvm.LibSVMTrainer

The SVM parameters suitable for use by LibSVM.

parameters - Variable in class org.tribuo.common.libsvm.SVMParameters

The libSVM format parameters.

POLY - Enum constant in enum org.tribuo.common.libsvm.KernelType

A polynomial kernel of the form (gamma*u'*v + coef0)^degree

postConfig() - Method in class org.tribuo.common.libsvm.LibSVMTrainer

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

R

RBF - Enum constant in enum org.tribuo.common.libsvm.KernelType

An RBF kernel of the form exp(-gamma*|u-v|^2)

S

serializeModel(svm_model) - Static method in class org.tribuo.common.libsvm.LibSVMModel

Serializes a LibSVM svm_model to a protobuf.

serializeParameters(svm_parameter) - Static method in class org.tribuo.common.libsvm.LibSVMModel

Serializes a svm_parameter to a protobuf.

setCacheSize(double) - Method in class org.tribuo.common.libsvm.SVMParameters

Sets the cache size.

setCoeff(double) - Method in class org.tribuo.common.libsvm.SVMParameters

Sets the coefficient.

setCost(double) - Method in class org.tribuo.common.libsvm.SVMParameters

Sets the cost for C_SVC.

setDegree(int) - Method in class org.tribuo.common.libsvm.SVMParameters

Sets the degree of the polynomial kernel.

setEpsilon(double) - Method in class org.tribuo.common.libsvm.SVMParameters

Sets the termination closeness.

setGamma(double) - Method in class org.tribuo.common.libsvm.SVMParameters

Sets gamma in the RBF kernel.

setInvocationCount(int) - Method in class org.tribuo.common.libsvm.LibSVMTrainer

setNu(double) - Method in class org.tribuo.common.libsvm.SVMParameters

Sets the value of nu for NU_SVM.

setProbability() - Method in class org.tribuo.common.libsvm.SVMParameters

Makes the model that is built provide probability estimates.

setupParameters(ImmutableOutputInfo<T>) - Method in class org.tribuo.common.libsvm.LibSVMTrainer

Constructs the svm_parameter.

SIGMOID - Enum constant in enum org.tribuo.common.libsvm.KernelType

A sigmoid kernel of the form tanh(gamma*u'*v + coef0)

SVMParameters<T> - Class in org.tribuo.common.libsvm

A container for SVM parameters and the kernel.

SVMParameters(SVMType<T>, KernelType) - Constructor for class org.tribuo.common.libsvm.SVMParameters

Constructs the default SVMParameters using the specified SVMType and KernelType.

svmParamsToString(svm_parameter) - Static method in class org.tribuo.common.libsvm.SVMParameters

A sensible toString for svm_parameter.

svmType - Variable in class org.tribuo.common.libsvm.LibSVMTrainer

The type of SVM algorithm.

svmType - Variable in class org.tribuo.common.libsvm.SVMParameters

The type of the SVM.

SVMType<T> - Interface in org.tribuo.common.libsvm

A carrier type for the SVM type.

T

toString() - Method in class org.tribuo.common.libsvm.LibSVMTrainer

toString() - Method in class org.tribuo.common.libsvm.SVMParameters

train(Dataset<T>) - Method in class org.tribuo.common.libsvm.LibSVMTrainer

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

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

trainModels(svm_parameter, int, svm_node[][], double[][], SplittableRandom) - Method in class org.tribuo.common.libsvm.LibSVMTrainer

Train all the LibSVM instances necessary for this dataset.

V

valueOf(String) - Static method in enum org.tribuo.common.libsvm.KernelType

Returns the enum constant of this type with the specified name.

values() - Static method in enum org.tribuo.common.libsvm.KernelType

Returns an array containing the constants of this enum type, in the order they are declared.

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