A

addElement(Classification). Method in class jsvm.ClassificationSet

Adds a Classification item to the set.

addExample(boolean, FeatureSet). Method in class jsvm.TrainingType

Adds an example to this training class.

addExample(String, boolean, FeatureSet). Method in class jsvm.TrainingSet

Adds an example to the class, type.

addFeature(long, double). Method in class jsvm.FeatureSet

Adds a feature/value pair to the set.

addType(TrainingType). Method in class jsvm.TrainingSet

Adds a set of training data for a particular class.

B

buildModels(TrainingSet). Method in interface jsvm.server.ClassificationProxy

buildModels(TrainingSet). Method in class jsvm.Svm

Builds a set of models based on the training data in C.

buildModels(TrainingSet). Method in class jsvm.server.SvmProxy

buildTwice(String, String). Method in class jsvm.SvmTest

1. Loads a training data file
2. Builds models based on the data
3. Loads another training data file
4. Builds models based on the new set of data

Result: Exception will be thrown because after building the first set of models, the data structure must be cleared before building another set of models.

buildTwiceCorrect(String, String, String, String). Method in class jsvm.SvmTest

1. Loads a training data file
2. Builds models
3. Writes models to file
4. Removes data structure
5. Loads another training data file
6. Builds models
7. Writes models to file

Result: Successfully writes the two sets of models to files m1 and m2.

C

Classification(String, double). Constructor for class jsvm.Classification

Creates an instance with type type and confidence value confidence.

ClassificationSet(). Constructor for class jsvm.ClassificationSet

Class constructor.

classify(FeatureSet). Method in interface jsvm.server.ClassificationProxy

classify(FeatureSet). Method in class jsvm.Svm

Classifies this feature set based on the current model.

classify(FeatureSet). Method in class jsvm.server.SvmProxy

classify(TrainingSet). Method in interface jsvm.server.ClassificationProxy

classify(TrainingSet). Method in class jsvm.Svm

Classifies test examples, returns the predictions, and calculates the accuracy of the classification.

classify(TrainingSet). Method in class jsvm.server.SvmProxy

classify(TrainingType). Method in interface jsvm.server.ClassificationProxy

classify(TrainingType). Method in class jsvm.Svm

Classifies test examples, returns the predictions, and calculates the accuracy of the classification.

classify(TrainingType). Method in class jsvm.server.SvmProxy

classify(Vector). Method in interface jsvm.server.ClassificationProxy

classify(Vector). Method in class jsvm.Svm

Classifies test examples and returns the predictions.

classify(Vector). Method in class jsvm.server.SvmProxy

classifyFromFile(String, String, String). Method in class jsvm.SvmTest

1. Loads a model file
2. Classifies a data file
3. Writes predictions to a file

classifyOneExample(String). Method in class jsvm.SvmTest

1. Loads a training data file
2. Builds models
3. Generates an example
4. Classifies the example
5. Prints confidence values to standard out

Result: Successfully classifies the example and prints out a list of distribution values.

classifyWithoutModels(). Method in class jsvm.SvmTest

1. Generates an example
2. Classifies the example
3. Prints a list of confidence values

Result: Exception thrown because models do not exist.

connect(). Method in interface jsvm.server.ClassificationServer

connect(). Method in class jsvm.server.SvmServer

D

DEBUG_MESSAGES. Static variable in class jsvm.Svm

SVM-Light kernel prints full debug information.

E

elements(). Method in class jsvm.ClassificationSet

F

FeatureSet(). Constructor for class jsvm.FeatureSet

G

getClassification(String). Method in class jsvm.ClassificationSet

getConfidence(). Method in class jsvm.Classification

getHighest(). Method in class jsvm.ClassificationSet

getID(). Method in interface jsvm.server.ClassificationProxy

getID(). Method in class jsvm.Svm

Gets the ID for this Svm object.

getID(). Method in class jsvm.server.SvmProxy

getIds(). Method in class jsvm.FeatureSet

getName(). Method in class jsvm.TrainingType

getType(). Method in class jsvm.Classification

getType(String). Method in class jsvm.TrainingSet

getValues(). Method in class jsvm.FeatureSet

getVerbosityLevel(). Method in class jsvm.Svm

Gets the current verbosity level.

H

I

initTokenizer(StreamTokenizer). Method in class jsvm.OrigSvmParser

Initializes the stream tokenizer.

J

K

L

LabeledTestCaseParser(). Constructor for class jsvm.LabeledTestCaseParser

LINEAR_KERNEL. Static variable in class jsvm.Svm

Basic linear kernel type.

loadAndBuild(String, String). Method in class jsvm.SvmTest

Loads a training data file, builds models, and writes models to a file.

loadBuildClassify(String, String). Method in class jsvm.SvmTest

1. Loads a training data file
2. Builds models
3. Loads a test data file
4. Classifies

loadModelAndClassify(String). Method in class jsvm.SvmTest

1. Loads a model file
2. Creates an example
3. Classifies the example

Result: prints out the distribution values as the result of classifying the example.

loadModels(InputStream). Method in interface jsvm.server.ClassificationProxy

loadModels(InputStream). Method in class jsvm.Svm

Loads and builds model data structures for classifiers in C.

• Reads classifier models from input stream.
• Forms a byte array.
• Sends the byte array to C.
• Reads data from the array and builds data structure in C.

loadModels(InputStream). Method in class jsvm.server.SvmProxy

loadTrainingData(InputStream, boolean). Static method in class jsvm.Svm

Loads training data.

loadTwoModelFiles(String, String). Method in class jsvm.SvmTest

1. Loads model file
2. Loads another model file

Result: Exception thrown because if models already exist, the program cannot load another model file.

M

main(String[]). Static method in class jsvm.server.SvmServer

main(String[]). Static method in class jsvm.SvmTest

maxFeatureId(). Method in class jsvm.FeatureSet

maxFeatureId(). Method in class jsvm.TrainingType

multiLoadAndBuild(String, String, String, String, String, String). Method in class jsvm.SvmTest

Creates 3 Svm instances, loads training data into each, build models, and writes models out to files.

multiLoadBuildClassify(String, String, String, String). Method in class jsvm.SvmTest

Creates 3 Svm instances, loads training data into each, build models, and classifies the test examples.

multiSvm(). Method in class jsvm.SvmTest

Creates 2 Svm instances and sets the verbosity level.

N

negExamples(). Method in class jsvm.TrainingType

NUM_KERNEL_TYPES. Static variable in class jsvm.Svm

The nubmer of kernel types.

NUM_MESSAGE_TYPES. Static variable in class jsvm.Svm

The number of verbosity levels.

numExamples(). Method in class jsvm.TrainingType

numFeatures(). Method in class jsvm.FeatureSet

Gets the number of features in the set

numNegExamples(). Method in class jsvm.TrainingType

numPosExamples(). Method in class jsvm.TrainingType

numTypes(). Method in class jsvm.TrainingSet

O

OrigSvmParser(). Constructor for class jsvm.OrigSvmParser

P

parse(InputStream). Method in class jsvm.LabeledTestCaseParser

Parses a data file containing multiple sets of training examples.

parse(InputStream). Method in class jsvm.OrigSvmParser

Parses a data file containing multiple sets of training examples.

parse(InputStream). Method in class jsvm.SvmParser

Parses a data file containing multiple sets of training examples.

parse(InputStream). Method in class jsvm.TestCaseParser

Parses data file containing test examples.

parseClassBody(StreamTokenizer, String, TrainingSet). Method in class jsvm.OrigSvmParser

Parses the set of examples for type "curType".

parseName(StreamTokenizer). Method in class jsvm.OrigSvmParser

Reads a string up to end-of-line.

POLYNOMIAL_KERNEL. Static variable in class jsvm.Svm

Polynomial kernel: (a*b+1)^d

posExamples(). Method in class jsvm.TrainingType

Q

QUIET_MESSAGES. Static variable in class jsvm.Svm

SVM-Light kernel prints minimal messages.

R

RADIAL_BASIS_KERNEL. Static variable in class jsvm.Svm

Radial basis function: exp(-gamma ||a-b||^2)

readLabeledTestCases(InputStream). Static method in class jsvm.Svm

Reads labeled test cases from input stream.

readOrigLabeledTestCases(InputStream). Static method in class jsvm.Svm

Reads labeled test cases from input stream.

readTestCases(InputStream). Static method in class jsvm.Svm

Reads unlabeled test cases from input stream.

removeAllExamples(). Method in class jsvm.TrainingType

Removes all of the examples from this training class.

removeModels(). Method in interface jsvm.server.ClassificationProxy

removeModels(). Method in class jsvm.Svm

Removes existing model data structures in C.

removeModels(). Method in class jsvm.server.SvmProxy

removeType(String). Method in class jsvm.TrainingSet

Removes the set of training data for class s.

S

setConfidence(double). Method in class jsvm.Classification

Sets the confidence value.

setEpsilon(double). Method in class jsvm.Svm

eps: Allow that error when fitting constraints y [w*x+b] >= 1-eps (default 0.001)

setKernelType(long). Method in class jsvm.Svm

Sets the kernel function type.

setMaxKernelCacheSize(long). Method in class jsvm.Svm

Sets the size of the cache for kernel evaluations (default 1000)

setMaxQPSize(long). Method in class jsvm.Svm

Sets the maximum size of QP-subproblems (default 50)

setName(String). Method in class jsvm.TrainingType

Sets the type of this training class.

setPolyD(double). Method in class jsvm.Svm

Sets the parameter d in polynomial kernel.

setRbfG(double). Method in class jsvm.Svm

Sets the parameter gamma in rbf kernel.

setRemoveInconsistent(boolean). Method in class jsvm.Svm

Removes inconsistent training examples and retrain (default 1)

setSigmoidC(double). Method in class jsvm.Svm

Sets the parameter c in sigmoid kernel.

setSigmoidS(double). Method in class jsvm.Svm

Sets the parameter s in sigmoid kernel.

setTradeOffErrorAndMargin(double). Method in class jsvm.Svm

Sets the trade-off between training error and margin (default 1000)

setType(String). Method in class jsvm.Classification

Sets the name of the classifier.

setUserDefinedKernel(String). Method in class jsvm.Svm

Sets the parameter of user defined kernel.

setVerbosityLevel(int). Method in class jsvm.Svm

Verbosity level.

SIGMOID_KERNEL. Static variable in class jsvm.Svm

Sigmoid kernel: tanh(s a*b + c)

SILENT_MESSAGES. Static variable in class jsvm.Svm

SVM-Light kernel prints no messages at all.

size(). Method in class jsvm.ClassificationSet

Svm(). Constructor for class jsvm.Svm

Class constructor.

SvmException(). Constructor for class jsvm.SvmException

SvmException(String). Constructor for class jsvm.SvmException

SvmParser(). Constructor for class jsvm.SvmParser

SvmProxy(). Constructor for class jsvm.server.SvmProxy

SvmServer(). Constructor for class jsvm.server.SvmServer

SvmTest(). Constructor for class jsvm.SvmTest

T

TestCaseParser(). Constructor for class jsvm.TestCaseParser

testLoadTrainingData(String). Method in class jsvm.SvmTest

Reads and parses a training data file.

toString(). Method in class jsvm.ClassificationSet

toString(). Method in class jsvm.FeatureSet

toString(). Method in class jsvm.TrainingSet

toString(). Method in class jsvm.TrainingType

TrainingSet(). Constructor for class jsvm.TrainingSet

Class constructor.

TrainingType(String). Constructor for class jsvm.TrainingType

Creates a training class instance, name.

types(). Method in class jsvm.TrainingSet

U

USER_KERNEL. Static variable in class jsvm.Svm

User defined kernel from kernel.h

V

VERBOSE_MESSAGES. Static variable in class jsvm.Svm

SVM-Light kernel prints standard messages.

W

writeModels(OutputStream). Method in interface jsvm.server.ClassificationProxy

writeModels(OutputStream). Method in class jsvm.Svm

Writes out model text representation to the output stream.

• Constructs byte stream from the model data structure in C.
• Transfers the byte stream to Java.
• Writes it to output stream.

writeModels(OutputStream). Method in class jsvm.server.SvmProxy

writePredictions(OutputStream, Vector). Static method in class jsvm.Svm

Writes the prediction results to an output stream.

X

Y

Z

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