Index

A B C D E G I K L M N O P R S T V W X Y
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

A

apply(Vector) - Method in class org.instantsvm.SVM

atof(String) - Static method in class org.instantsvm.utils.LibSvmIO

atoi(String) - Static method in class org.instantsvm.utils.LibSvmIO

B

bestC - Variable in class org.instantsvm.XValResult

bestG - Variable in class org.instantsvm.XValResult

C

C - Variable in class libsvm.svm_parameter

C_SVC - Static variable in class libsvm.svm_parameter

cache_size - Variable in class libsvm.svm_parameter

clone() - Method in class libsvm.svm_parameter

coef0 - Variable in class libsvm.svm_parameter

Conversion - Class in org.instantsvm.utils

Conversion() - Constructor for class org.instantsvm.utils.Conversion

D

DEF_CSV_INPUT_NAME - Static variable in class org.instantsvm.utils.LibSvmIO

DEF_INPUT_NAME - Static variable in class org.instantsvm.utils.LibSvmIO

DEF_MODEL_NAME - Static variable in class org.instantsvm.utils.LibSvmIO

defaultInputDirectory(String) - Static method in class org.instantsvm.utils.LibSvmIO

defaultInputPath(String) - Static method in class org.instantsvm.utils.LibSvmIO

defaultInputPath(String, boolean) - Static method in class org.instantsvm.utils.LibSvmIO

defaultModelDirectory(String) - Static method in class org.instantsvm.utils.LibSvmIO

defaultModelPath(String) - Static method in class org.instantsvm.utils.LibSvmIO

defaults() - Method in class org.instantsvm.Parameters

defaults() - Method in class org.instantsvm.regression.RegressionParameters

degree - Variable in class libsvm.svm_parameter

DIR_DATASETS - Static variable in class org.instantsvm.utils.LibSvmIO

DIR_MODELS - Static variable in class org.instantsvm.utils.LibSvmIO

do_cross_validation(int) - Method in class org.instantsvm.SVM

E

eps - Variable in class libsvm.svm_parameter

EPSILON_SVR - Static variable in class libsvm.svm_parameter

errors - Variable in class org.instantsvm.XValResult

G

gamma - Variable in class libsvm.svm_parameter

getCoefs() - Method in class org.instantsvm.SVM

getDefaultParameters() - Method in class org.instantsvm.regression.RegressionSVM

getDefaultParameters() - Method in class org.instantsvm.SVM

getParam() - Method in class org.instantsvm.Parameters

getParameters() - Method in class org.instantsvm.SVM

getSupportVectors() - Method in class org.instantsvm.SVM

getX() - Method in class org.instantsvm.regression.RegressionInputs

getY() - Method in class org.instantsvm.regression.RegressionInputs

I

index - Variable in class libsvm.svm_node

K

kernel_type - Variable in class libsvm.svm_parameter

L

l - Variable in class libsvm.svm_model

l - Variable in class libsvm.svm_problem

label - Variable in class libsvm.svm_model

LazySVM - Class in org.instantsvm.utils

LazySVM either reload an existing model, or train and save a model in InstantSVM library.

LazySVM() - Constructor for class org.instantsvm.utils.LazySVM

libsvm - package libsvm

LIBSVM_VERSION - Static variable in class libsvm.svm

LibSvmConsole - Class in org.instantsvm.utils

LibSvmConsole() - Constructor for class org.instantsvm.utils.LibSvmConsole

LibSvmIO - Class in org.instantsvm.utils

LibSvmIO() - Constructor for class org.instantsvm.utils.LibSvmIO

LINEAR - Static variable in class libsvm.svm_parameter

load(String) - Method in class org.instantsvm.regression.RegressionInputs

load(String) - Method in class org.instantsvm.SVM

load(Vector, Vector) - Method in class org.instantsvm.SVM

loadModel(String) - Static method in class org.instantsvm.utils.LibSvmIO

loadOrTrainRegression(String, Parameters) - Static method in class org.instantsvm.utils.LazySVM

loadOrTrainRegression(String, Parameters, RegressionInputs) - Static method in class org.instantsvm.utils.LazySVM

loadRegression(String) - Static method in class org.instantsvm.utils.LibSvmIO

Load CSV format if file ends with ".csv", or LIBSVM data format otherwise.

loadRegressionCsv(String) - Static method in class org.instantsvm.utils.LibSvmIO

loadRegressionOriginalFormat(String) - Static method in class org.instantsvm.utils.LibSvmIO

M

main(String[]) - Static method in class org.instantsvm.demos.regression.RegressionDemo

main(String[]) - Static method in class org.instantsvm.demos.regression.XValDemo

model - Variable in class org.instantsvm.SVM

mountModel(svm_model) - Method in class org.instantsvm.SVM

N

nr_class - Variable in class libsvm.svm_model

nr_weight - Variable in class libsvm.svm_parameter

nSV - Variable in class libsvm.svm_model

nu - Variable in class libsvm.svm_parameter

NU_SVC - Static variable in class libsvm.svm_parameter

NU_SVR - Static variable in class libsvm.svm_parameter

O

ONE_CLASS - Static variable in class libsvm.svm_parameter

org.instantsvm - package org.instantsvm

org.instantsvm.demos.regression - package org.instantsvm.demos.regression

org.instantsvm.regression - package org.instantsvm.regression

org.instantsvm.utils - package org.instantsvm.utils

P

p - Variable in class libsvm.svm_parameter

param - Variable in class libsvm.svm_model

param - Variable in class org.instantsvm.Parameters

param - Variable in class org.instantsvm.SVM

parameters - Variable in class org.instantsvm.SVM

Parameters - Class in org.instantsvm

options: -s svm_type : set type of SVM (default 0) 0 -- C-SVC 1 -- nu-SVC 2 -- one-class SVM 3 -- epsilon-SVR 4 -- nu-SVR -t kernel_type : set type of kernel function (default 2) 0 -- linear: u'*v 1 -- polynomial: (gamma*u'*v + coef0)^degree 2 -- radial basis function: exp(-gamma*|u-v|^2) 3 -- sigmoid: tanh(gamma*u'*v + coef0) 4 -- precomputed kernel (kernel values in training_set_file) -d degree : set degree in kernel function (default 3) -g gamma : set gamma in kernel function (default 1/num_features) -r coef0 : set coef0 in kernel function (default 0) -c cost : set the parameter C of C-SVC, epsilon-SVR, and nu-SVR (default 1) -n nu : set the parameter nu of nu-SVC, one-class SVM, and nu-SVR (default 0.5) -p epsilon : set the epsilon in loss function of epsilon-SVR (default 0.1) -m cachesize : set cache memory size in MB (default 100) -e epsilon : set tolerance of termination criterion (default 0.001) -h shrinking : whether to use the shrinking heuristics, 0 or 1 (default 1) -b probability_estimates : whether to train a SVC or SVR model for probability estimates, 0 or 1 (default 0) -wi weight : set the parameter C of class i to weight*C, for C-SVC (default 1) -v n : n-fold cross validation mode -q : quiet mode (no outputs)

Parameters() - Constructor for class org.instantsvm.Parameters

Parameters(double, double, double) - Constructor for class org.instantsvm.Parameters

Parameters(svm_parameter) - Constructor for class org.instantsvm.Parameters

POLY - Static variable in class libsvm.svm_parameter

PRECOMPUTED - Static variable in class libsvm.svm_parameter

predict(Vector, double[], int) - Method in class org.instantsvm.SVM

print() - Method in class org.instantsvm.Parameters

print() - Method in class org.instantsvm.SVM

print(double[]) - Static method in class org.instantsvm.utils.LibSvmConsole

print(double[][]) - Static method in class org.instantsvm.utils.LibSvmConsole

print(float[]) - Static method in class org.instantsvm.utils.LibSvmConsole

print(float[][]) - Static method in class org.instantsvm.utils.LibSvmConsole

print(int[]) - Static method in class org.instantsvm.utils.LibSvmConsole

print(int[][]) - Static method in class org.instantsvm.utils.LibSvmConsole

print(String) - Method in interface libsvm.svm_print_interface

print(svm_node[]) - Static method in class org.instantsvm.utils.LibSvmConsole

print(svm_node[][]) - Static method in class org.instantsvm.utils.LibSvmConsole

print(svm_node[][], double) - Static method in class org.instantsvm.utils.LibSvmConsole

print(svm_parameter) - Static method in class org.instantsvm.utils.LibSvmConsole

println(svm_node[]) - Static method in class org.instantsvm.utils.LibSvmConsole

prob - Variable in class org.instantsvm.SVM

probA - Variable in class libsvm.svm_model

probability - Variable in class libsvm.svm_parameter

probB - Variable in class libsvm.svm_model

R

RBF - Static variable in class libsvm.svm_parameter

readNLines(String) - Static method in class org.instantsvm.utils.LibSvmIO

RegressionDemo - Class in org.instantsvm.demos.regression

RegressionDemo() - Constructor for class org.instantsvm.demos.regression.RegressionDemo

RegressionInputs - Class in org.instantsvm.regression

RegressionInputs() - Constructor for class org.instantsvm.regression.RegressionInputs

RegressionInputs(String) - Constructor for class org.instantsvm.regression.RegressionInputs

RegressionInputs(Vector, Vector) - Constructor for class org.instantsvm.regression.RegressionInputs

RegressionParameters - Class in org.instantsvm.regression

RegressionParameters() - Constructor for class org.instantsvm.regression.RegressionParameters

RegressionParameters(double, double, double) - Constructor for class org.instantsvm.regression.RegressionParameters

RegressionSVM - Class in org.instantsvm.regression

RegressionSVM() - Constructor for class org.instantsvm.regression.RegressionSVM

RegressionSVM(String) - Constructor for class org.instantsvm.regression.RegressionSVM

RegressionSVM(svm_model) - Constructor for class org.instantsvm.regression.RegressionSVM

regressionTrial(String) - Static method in class org.instantsvm.demos.regression.RegressionDemo

regressionTrial(String) - Static method in class org.instantsvm.demos.regression.XValDemo

rho - Variable in class libsvm.svm_model

S

save(String) - Method in class org.instantsvm.SVM

save(String, String) - Method in class org.instantsvm.SVM

scale(float, float, float) - Method in class org.instantsvm.regression.RegressionInputs

scale(RegressionInputs, float, float, float) - Static method in class org.instantsvm.demos.regression.XValDemo

setParam(svm_parameter) - Method in class org.instantsvm.Parameters

setValues(Vector, Vector) - Method in class org.instantsvm.regression.RegressionInputs

shrinking - Variable in class libsvm.svm_parameter

SIGMOID - Static variable in class libsvm.svm_parameter

SV - Variable in class libsvm.svm_model

sv_coef - Variable in class libsvm.svm_model

svm - Class in libsvm

svm() - Constructor for class libsvm.svm

SVM - Class in org.instantsvm

SVM() - Constructor for class org.instantsvm.SVM

SVM(String) - Constructor for class org.instantsvm.SVM

SVM(svm_model) - Constructor for class org.instantsvm.SVM

svm_check_parameter(svm_problem, svm_parameter) - Static method in class libsvm.svm

svm_check_probability_model(svm_model) - Static method in class libsvm.svm

svm_cross_validation(svm_problem, svm_parameter, int, double[]) - Static method in class libsvm.svm

svm_get_labels(svm_model, int[]) - Static method in class libsvm.svm

svm_get_nr_class(svm_model) - Static method in class libsvm.svm

svm_get_svm_type(svm_model) - Static method in class libsvm.svm

svm_get_svr_probability(svm_model) - Static method in class libsvm.svm

svm_load_model(BufferedReader) - Static method in class libsvm.svm

svm_load_model(String) - Static method in class libsvm.svm

svm_model - Class in libsvm

svm_model() - Constructor for class libsvm.svm_model

svm_node - Class in libsvm

svm_node() - Constructor for class libsvm.svm_node

svm_parameter - Class in libsvm

svm_parameter() - Constructor for class libsvm.svm_parameter

svm_predict(svm_model, svm_node[]) - Static method in class libsvm.svm

svm_predict_probability(svm_model, svm_node[], double[]) - Static method in class libsvm.svm

svm_predict_values(svm_model, svm_node[], double[]) - Static method in class libsvm.svm

svm_print_interface - Interface in libsvm

svm_problem - Class in libsvm

svm_problem() - Constructor for class libsvm.svm_problem

svm_save_model(String, svm_model) - Static method in class libsvm.svm

svm_set_print_string_function(svm_print_interface) - Static method in class libsvm.svm

svm_train(svm_problem, svm_parameter) - Static method in class libsvm.svm

svm_type - Variable in class libsvm.svm_parameter

T

toDataset(svm_node[]) - Static method in class org.instantsvm.utils.Conversion

toString() - Method in class org.instantsvm.XValResult

toVector(double, double) - Static method in class org.instantsvm.utils.Conversion

toVector(int, double) - Static method in class org.instantsvm.utils.Conversion

train(Vector, Vector) - Method in class org.instantsvm.SVM

train(Vector, Vector, Parameters) - Method in class org.instantsvm.SVM

train(RegressionInputs) - Method in class org.instantsvm.regression.RegressionSVM

train(RegressionInputs, Parameters) - Method in class org.instantsvm.regression.RegressionSVM

trainAndSaveRegression(String, Parameters, RegressionInputs) - Static method in class org.instantsvm.utils.LazySVM

trainAndSaveRegression(String, RegressionInputs) - Static method in class org.instantsvm.utils.LazySVM

V

value - Variable in class libsvm.svm_node

W

weight - Variable in class libsvm.svm_parameter

weight_label - Variable in class libsvm.svm_parameter

X

x - Variable in class libsvm.svm_problem

x - Variable in class org.instantsvm.regression.RegressionInputs

xval(Vector, Vector, Parameters, int, double, double, int, double, double, int) - Method in class org.instantsvm.SVM

XValDemo - Class in org.instantsvm.demos.regression

XValDemo() - Constructor for class org.instantsvm.demos.regression.XValDemo

XValResult - Class in org.instantsvm

XValResult(double[][], double, double) - Constructor for class org.instantsvm.XValResult

Y

y - Variable in class libsvm.svm_problem

y - Variable in class org.instantsvm.regression.RegressionInputs

A B C D E G I K L M N O P R S T V W X Y
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form