A B C D E F G H I L M N O P R S T V W X Y _ 
All Classes All Packages

A

a - Variable in class de.bwaldvogel.liblinear.Heap
 
addToArray(double[], double) - Static method in class de.bwaldvogel.liblinear.Train
 
addToArray(int[], int) - Static method in class de.bwaldvogel.liblinear.Train
 
arrayEquals(double[], double[]) - Static method in class de.bwaldvogel.liblinear.Model
don't use Arrays.equals(double[], double[]) here, cause 0.0 and -0.0 should be handled the same
arrayHashCode(double[]) - Static method in class de.bwaldvogel.liblinear.Model
see Arrays.hashCode(double[]) but treat 0.0 and -0.0 the same
ArraySorter - Class in de.bwaldvogel.liblinear
 
ArraySorter() - Constructor for class de.bwaldvogel.liblinear.ArraySorter
 
atof(String) - Static method in class de.bwaldvogel.liblinear.Linear
 
atoi(String) - Static method in class de.bwaldvogel.liblinear.Linear
 
axpy(double, Feature[], double[]) - Static method in class de.bwaldvogel.liblinear.SparseOperator
 

B

B - Variable in class de.bwaldvogel.liblinear.SolverMCSVM_CS
 
be_shrunk(int, int, int, double, double) - Method in class de.bwaldvogel.liblinear.SolverMCSVM_CS
 
bestC - Variable in class de.bwaldvogel.liblinear.ParameterCSearchResult
 
bestC - Variable in class de.bwaldvogel.liblinear.ParameterSearchResult
 
bestP - Variable in class de.bwaldvogel.liblinear.ParameterSearchResult
 
bestScore - Variable in class de.bwaldvogel.liblinear.ParameterCSearchResult
 
bestScore - Variable in class de.bwaldvogel.liblinear.ParameterSearchResult
 
bias - Variable in class de.bwaldvogel.liblinear.Model
 
bias - Variable in class de.bwaldvogel.liblinear.Problem
If bias >= 0, we assume that one additional feature is added to the end of each data instance
bias - Variable in class de.bwaldvogel.liblinear.Train
 
Blas - Class in de.bwaldvogel.liblinear
 
Blas() - Constructor for class de.bwaldvogel.liblinear.Blas
 

C

C - Variable in class de.bwaldvogel.liblinear.L2R_ErmFunction
 
C - Variable in class de.bwaldvogel.liblinear.Parameter
 
C - Variable in class de.bwaldvogel.liblinear.SolverMCSVM_CS
 
C_specified - Variable in class de.bwaldvogel.liblinear.Train
 
C_times_loss(int, double) - Method in class de.bwaldvogel.liblinear.L2R_ErmFunction
 
C_times_loss(int, double) - Method in class de.bwaldvogel.liblinear.L2R_L2_SvcFunction
 
C_times_loss(int, double) - Method in class de.bwaldvogel.liblinear.L2R_L2_SvrFunction
 
C_times_loss(int, double) - Method in class de.bwaldvogel.liblinear.L2R_LrFunction
 
calc_max_p(Problem) - Static method in class de.bwaldvogel.liblinear.Linear
 
calc_start_C(Problem, Parameter) - Static method in class de.bwaldvogel.liblinear.Linear
 
checkProblemSize(int, int) - Static method in class de.bwaldvogel.liblinear.Linear
verify the size and throw an exception early if the problem is too large
clone() - Method in class de.bwaldvogel.liblinear.Parameter
 
cmp(Feature, Feature) - Method in class de.bwaldvogel.liblinear.Heap
 
COLON - Static variable in class de.bwaldvogel.liblinear.Predict
 
constructProblem(List<Double>, List<Feature[]>, int, double) - Static method in class de.bwaldvogel.liblinear.Train
 
count - Variable in class de.bwaldvogel.liblinear.Linear.GroupClassesReturn
 
cross_validation - Variable in class de.bwaldvogel.liblinear.Train
 
crossValidation(Problem, Parameter, int, double[]) - Static method in class de.bwaldvogel.liblinear.Linear
 

D

D - Variable in class de.bwaldvogel.liblinear.L2R_LrFunction
 
daxpy_(int, double, double[], int, double[], int) - Static method in class de.bwaldvogel.liblinear.Blas
 
daxpy_(MutableInt, MutableDouble, double[], MutableInt, double[], MutableInt) - Static method in class de.bwaldvogel.liblinear.Blas
 
ddot_(int, double[], int, double[], int) - Static method in class de.bwaldvogel.liblinear.Blas
 
ddot_(MutableInt, double[], MutableInt, double[], MutableInt) - Static method in class de.bwaldvogel.liblinear.Blas
 
de.bwaldvogel.liblinear - package de.bwaldvogel.liblinear
 
DEBUG_OUTPUT - Static variable in class de.bwaldvogel.liblinear.Linear
 
deepClone(Random) - Static method in class de.bwaldvogel.liblinear.Parameter
 
DEFAULT_LOCALE - Static variable in class de.bwaldvogel.liblinear.Linear
 
DEFAULT_RANDOM_SEED - Static variable in class de.bwaldvogel.liblinear.Parameter
 
disableDebugOutput() - Static method in class de.bwaldvogel.liblinear.Linear
 
dnrm2_(int, double[], MutableInt) - Static method in class de.bwaldvogel.liblinear.Blas
 
dnrm2_(MutableInt, double[], MutableInt) - Static method in class de.bwaldvogel.liblinear.Blas
 
do_cross_validation() - Method in class de.bwaldvogel.liblinear.Train
 
do_find_parameters() - Method in class de.bwaldvogel.liblinear.Train
 
doPredict(BufferedReader, Writer, Model, boolean) - Static method in class de.bwaldvogel.liblinear.Predict
Note: The streams are NOT closed
dot(double[], Feature[]) - Static method in class de.bwaldvogel.liblinear.SparseOperator
 
DoubleArrayPointer - Class in de.bwaldvogel.liblinear
 
DoubleArrayPointer(double[], int) - Constructor for class de.bwaldvogel.liblinear.DoubleArrayPointer
 
dscal_(int, double, double[], int) - Static method in class de.bwaldvogel.liblinear.Blas
 
dscal_(MutableInt, MutableDouble, double[], MutableInt) - Static method in class de.bwaldvogel.liblinear.Blas
 

E

enableDebugOutput() - Static method in class de.bwaldvogel.liblinear.Linear
 
eps - Variable in class de.bwaldvogel.liblinear.Newton
 
eps - Variable in class de.bwaldvogel.liblinear.Parameter
stopping tolerance
eps - Variable in class de.bwaldvogel.liblinear.SolverMCSVM_CS
 
eps_cg - Variable in class de.bwaldvogel.liblinear.Newton
 
equals(Object) - Method in class de.bwaldvogel.liblinear.FeatureNode
 
equals(Object) - Method in class de.bwaldvogel.liblinear.Model
 
exit_with_help() - Static method in class de.bwaldvogel.liblinear.Predict
 
exit_with_help() - Method in class de.bwaldvogel.liblinear.Train
 

F

Feature - Interface in de.bwaldvogel.liblinear
 
FeatureNode - Class in de.bwaldvogel.liblinear
 
FeatureNode(int, double) - Constructor for class de.bwaldvogel.liblinear.FeatureNode
 
FeatureNode(int, double, boolean) - Constructor for class de.bwaldvogel.liblinear.FeatureNode
 
FILE_CHARSET - Static variable in class de.bwaldvogel.liblinear.Linear
 
find_parameter_C(Problem, Parameter, double, double, int[], int[], Problem[], int) - Static method in class de.bwaldvogel.liblinear.Linear
 
find_parameters - Variable in class de.bwaldvogel.liblinear.Train
 
findParameters(Problem, Parameter, int, double, double) - Static method in class de.bwaldvogel.liblinear.Linear
 
fun(double[]) - Method in interface de.bwaldvogel.liblinear.Function
 
fun(double[]) - Method in class de.bwaldvogel.liblinear.L2R_ErmFunction
 
fun_obj - Variable in class de.bwaldvogel.liblinear.Newton
 
Function - Interface in de.bwaldvogel.liblinear
 

G

G - Variable in class de.bwaldvogel.liblinear.SolverMCSVM_CS
 
get() - Method in class de.bwaldvogel.liblinear.MutableDouble
 
get() - Method in class de.bwaldvogel.liblinear.MutableInt
 
get(int) - Method in class de.bwaldvogel.liblinear.DoubleArrayPointer
 
get(int) - Method in class de.bwaldvogel.liblinear.IntArrayPointer
 
get_diag_preconditioner(double[]) - Method in interface de.bwaldvogel.liblinear.Function
 
get_diag_preconditioner(double[]) - Method in class de.bwaldvogel.liblinear.L2R_L2_SvcFunction
 
get_diag_preconditioner(double[]) - Method in class de.bwaldvogel.liblinear.L2R_LrFunction
 
get_nr_variable() - Method in interface de.bwaldvogel.liblinear.Function
 
get_nr_variable() - Method in class de.bwaldvogel.liblinear.L2R_ErmFunction
 
get_w_value(int, int) - Method in class de.bwaldvogel.liblinear.Model
 
getBestC() - Method in class de.bwaldvogel.liblinear.ParameterCSearchResult
 
getBestC() - Method in class de.bwaldvogel.liblinear.ParameterSearchResult
 
getBestP() - Method in class de.bwaldvogel.liblinear.ParameterSearchResult
 
getBestScore() - Method in class de.bwaldvogel.liblinear.ParameterCSearchResult
 
getBestScore() - Method in class de.bwaldvogel.liblinear.ParameterSearchResult
 
getBias() - Method in class de.bwaldvogel.liblinear.Model
 
getBias() - Method in class de.bwaldvogel.liblinear.Train
 
getById(int) - Static method in enum de.bwaldvogel.liblinear.SolverType
 
getC() - Method in class de.bwaldvogel.liblinear.Parameter
 
getDecfunBias(int) - Method in class de.bwaldvogel.liblinear.Model
This function gives the bias term corresponding to the class with the label_idx.
getDecfunCoef(int, int) - Method in class de.bwaldvogel.liblinear.Model
This function gives the coefficient for the feature with feature index = feat_idx and the class with label index = label_idx.
getDecfunRho() - Method in class de.bwaldvogel.liblinear.Model
This function gives rho, the bias term used in one-class SVM only.
getEps() - Method in class de.bwaldvogel.liblinear.Parameter
 
getFeatureWeights() - Method in class de.bwaldvogel.liblinear.Model
The array w gives feature weights; its size is nr_feature*nr_class but is nr_feature if nr_class = 2.
GETI(byte[], int) - Static method in class de.bwaldvogel.liblinear.Linear
 
GETI(int) - Method in class de.bwaldvogel.liblinear.SolverMCSVM_CS
 
GETI_SVR(int) - Static method in class de.bwaldvogel.liblinear.Linear
 
getId() - Method in enum de.bwaldvogel.liblinear.SolverType
 
getIndex() - Method in interface de.bwaldvogel.liblinear.Feature
 
getIndex() - Method in class de.bwaldvogel.liblinear.FeatureNode
 
getInitSol() - Method in class de.bwaldvogel.liblinear.Parameter
 
getLabels() - Method in class de.bwaldvogel.liblinear.Model
 
getLine() - Method in exception de.bwaldvogel.liblinear.InvalidInputDataException
 
getMaxIters() - Method in class de.bwaldvogel.liblinear.Parameter
 
getNrClass() - Method in class de.bwaldvogel.liblinear.Model
 
getNrFeature() - Method in class de.bwaldvogel.liblinear.Model
 
getNu() - Method in class de.bwaldvogel.liblinear.Parameter
 
getNumFolds() - Method in class de.bwaldvogel.liblinear.Train
 
getNumWeights() - Method in class de.bwaldvogel.liblinear.Parameter
the number of weights
getP() - Method in class de.bwaldvogel.liblinear.Parameter
 
getParameter() - Method in class de.bwaldvogel.liblinear.Train
 
getProblem() - Method in class de.bwaldvogel.liblinear.Train
 
getSolverType() - Method in class de.bwaldvogel.liblinear.Model
 
getSolverType() - Method in class de.bwaldvogel.liblinear.Parameter
 
getValue() - Method in interface de.bwaldvogel.liblinear.Feature
 
getValue() - Method in class de.bwaldvogel.liblinear.FeatureNode
 
getVersion() - Static method in class de.bwaldvogel.liblinear.Linear
 
getWeightLabels() - Method in class de.bwaldvogel.liblinear.Parameter
 
getWeights() - Method in class de.bwaldvogel.liblinear.Parameter
 
grad(double[], double[]) - Method in interface de.bwaldvogel.liblinear.Function
 
grad(double[], double[]) - Method in class de.bwaldvogel.liblinear.L2R_L2_SvcFunction
 
grad(double[], double[]) - Method in class de.bwaldvogel.liblinear.L2R_L2_SvrFunction
 
grad(double[], double[]) - Method in class de.bwaldvogel.liblinear.L2R_LrFunction
 
groupClasses(Problem, int[]) - Static method in class de.bwaldvogel.liblinear.Linear
 
GroupClassesReturn(int, int[], int[], int[]) - Constructor for class de.bwaldvogel.liblinear.Linear.GroupClassesReturn
 

H

hashCode() - Method in class de.bwaldvogel.liblinear.FeatureNode
 
hashCode() - Method in class de.bwaldvogel.liblinear.Model
 
Heap - Class in de.bwaldvogel.liblinear
 
Heap(int, Heap.HeapType) - Constructor for class de.bwaldvogel.liblinear.Heap
 
Heap.HeapType - Enum in de.bwaldvogel.liblinear
 
HeapType() - Constructor for enum de.bwaldvogel.liblinear.Heap.HeapType
 
Hv(double[], double[]) - Method in interface de.bwaldvogel.liblinear.Function
 
Hv(double[], double[]) - Method in class de.bwaldvogel.liblinear.L2R_L2_SvcFunction
 
Hv(double[], double[]) - Method in class de.bwaldvogel.liblinear.L2R_LrFunction
 

I

I - Variable in class de.bwaldvogel.liblinear.L2R_L2_SvcFunction
 
id - Variable in enum de.bwaldvogel.liblinear.SolverType
 
index - Variable in class de.bwaldvogel.liblinear.FeatureNode
 
info(String) - Static method in class de.bwaldvogel.liblinear.Linear
 
info(String, Object...) - Static method in class de.bwaldvogel.liblinear.Linear
 
init_sol - Variable in class de.bwaldvogel.liblinear.Parameter
Initial-solution specification (only supported for L2R_LR and L2R_L2LOSS_SVC)
initialized - Variable in class de.bwaldvogel.liblinear.MutableDouble
 
initialized - Variable in class de.bwaldvogel.liblinear.MutableInt
 
inputFilename - Variable in class de.bwaldvogel.liblinear.Train
 
IntArrayPointer - Class in de.bwaldvogel.liblinear
 
IntArrayPointer(int[], int) - Constructor for class de.bwaldvogel.liblinear.IntArrayPointer
 
InvalidInputDataException - Exception in de.bwaldvogel.liblinear
 
InvalidInputDataException(String, int) - Constructor for exception de.bwaldvogel.liblinear.InvalidInputDataException
 
InvalidInputDataException(String, int, Exception) - Constructor for exception de.bwaldvogel.liblinear.InvalidInputDataException
 
isFindParameters() - Method in class de.bwaldvogel.liblinear.Train
 
isLogisticRegressionSolver() - Method in enum de.bwaldvogel.liblinear.SolverType
 
isOneClass() - Method in enum de.bwaldvogel.liblinear.SolverType
 
isProbabilityModel() - Method in class de.bwaldvogel.liblinear.Model
 
isRegularizeBias() - Method in class de.bwaldvogel.liblinear.Parameter
 
isSupportVectorRegression() - Method in enum de.bwaldvogel.liblinear.SolverType
 

L

l - Variable in class de.bwaldvogel.liblinear.Problem
the number of training data
l - Variable in class de.bwaldvogel.liblinear.SolverMCSVM_CS
 
L1R_L2LOSS_SVC - de.bwaldvogel.liblinear.SolverType
L1-regularized L2-loss support vector classification
L1R_LR - de.bwaldvogel.liblinear.SolverType
L1-regularized logistic regression
L2R_ErmFunction - Class in de.bwaldvogel.liblinear
 
L2R_ErmFunction(Problem, Parameter, double[]) - Constructor for class de.bwaldvogel.liblinear.L2R_ErmFunction
 
L2R_L1LOSS_SVC_DUAL - de.bwaldvogel.liblinear.SolverType
L2-regularized L1-loss support vector classification (dual) (fka L1LOSS_SVM_DUAL)
L2R_L1LOSS_SVR_DUAL - de.bwaldvogel.liblinear.SolverType
L2-regularized L2-loss support vector regression (primal)
L2R_L2_SvcFunction - Class in de.bwaldvogel.liblinear
 
L2R_L2_SvcFunction(Problem, Parameter, double[]) - Constructor for class de.bwaldvogel.liblinear.L2R_L2_SvcFunction
 
L2R_L2_SvrFunction - Class in de.bwaldvogel.liblinear
 
L2R_L2_SvrFunction(Problem, Parameter, double[]) - Constructor for class de.bwaldvogel.liblinear.L2R_L2_SvrFunction
 
L2R_L2LOSS_SVC - de.bwaldvogel.liblinear.SolverType
L2-regularized L2-loss support vector classification (primal) (fka L2LOSS_SVM)
L2R_L2LOSS_SVC_DUAL - de.bwaldvogel.liblinear.SolverType
L2-regularized L2-loss support vector classification (dual) (fka L2LOSS_SVM_DUAL)
L2R_L2LOSS_SVR - de.bwaldvogel.liblinear.SolverType
L2-regularized L2-loss support vector regression (dual)
L2R_L2LOSS_SVR_DUAL - de.bwaldvogel.liblinear.SolverType
L2-regularized L1-loss support vector regression (dual)
L2R_LR - de.bwaldvogel.liblinear.SolverType
L2-regularized logistic regression (primal) (fka L2_LR)
L2R_LR_DUAL - de.bwaldvogel.liblinear.SolverType
L2-regularized logistic regression (dual)
L2R_LrFunction - Class in de.bwaldvogel.liblinear
 
L2R_LrFunction(Problem, Parameter, double[]) - Constructor for class de.bwaldvogel.liblinear.L2R_LrFunction
 
label - Variable in class de.bwaldvogel.liblinear.Linear.GroupClassesReturn
 
label - Variable in class de.bwaldvogel.liblinear.Model
label of each class
Linear - Class in de.bwaldvogel.liblinear
Java port of liblinear
Linear() - Constructor for class de.bwaldvogel.liblinear.Linear
 
Linear.GroupClassesReturn - Class in de.bwaldvogel.liblinear
used as complex return type
linesearch_and_update(double[], double[], MutableDouble, double[], double) - Method in interface de.bwaldvogel.liblinear.Function
 
linesearch_and_update(double[], double[], MutableDouble, double[], double) - Method in class de.bwaldvogel.liblinear.L2R_ErmFunction
 
load(File) - Static method in class de.bwaldvogel.liblinear.Model
Deprecated.
use Model.load(Path) instead
load(Reader) - Static method in class de.bwaldvogel.liblinear.Model
load(Path) - Static method in class de.bwaldvogel.liblinear.Model
loadModel(File) - Static method in class de.bwaldvogel.liblinear.Linear
Deprecated.
loadModel(Reader) - Static method in class de.bwaldvogel.liblinear.Linear
Loads the model from inputReader.
loadModel(Path) - Static method in class de.bwaldvogel.liblinear.Linear
Loads the model from the file with ISO-8859-1 charset.
logisticRegressionSolver - Variable in enum de.bwaldvogel.liblinear.SolverType
 

M

main(String[]) - Static method in class de.bwaldvogel.liblinear.Predict
 
main(String[]) - Static method in class de.bwaldvogel.liblinear.Train
 
MAX - de.bwaldvogel.liblinear.Heap.HeapType
 
max_iter - Variable in class de.bwaldvogel.liblinear.Newton
 
max_iter - Variable in class de.bwaldvogel.liblinear.SolverMCSVM_CS
 
max_iters - Variable in class de.bwaldvogel.liblinear.Parameter
 
MCSVM_CS - de.bwaldvogel.liblinear.SolverType
multi-class support vector classification by Crammer and Singer
med3(double[], int, int, int) - Static method in class de.bwaldvogel.liblinear.ArraySorter
Returns the index of the median of the three indexed doubles.
MIN - de.bwaldvogel.liblinear.Heap.HeapType
 
Model - Class in de.bwaldvogel.liblinear
Model stores the model obtained from the training procedure
Model() - Constructor for class de.bwaldvogel.liblinear.Model
 
modelFilename - Variable in class de.bwaldvogel.liblinear.Train
 
MutableDouble - Class in de.bwaldvogel.liblinear
 
MutableDouble() - Constructor for class de.bwaldvogel.liblinear.MutableDouble
 
MutableDouble(double) - Constructor for class de.bwaldvogel.liblinear.MutableDouble
 
MutableInt - Class in de.bwaldvogel.liblinear
 
MutableInt(int) - Constructor for class de.bwaldvogel.liblinear.MutableInt
 

N

n - Variable in class de.bwaldvogel.liblinear.Problem
the number of features (including the bias feature if bias >= 0)
newton(double[]) - Method in class de.bwaldvogel.liblinear.Newton
 
Newton - Class in de.bwaldvogel.liblinear
 
Newton(Function, double, int) - Constructor for class de.bwaldvogel.liblinear.Newton
 
Newton(Function, double, int, double) - Constructor for class de.bwaldvogel.liblinear.Newton
 
nr_class - Variable in class de.bwaldvogel.liblinear.Linear.GroupClassesReturn
 
nr_class - Variable in class de.bwaldvogel.liblinear.Model
 
nr_class - Variable in class de.bwaldvogel.liblinear.SolverMCSVM_CS
 
nr_feature - Variable in class de.bwaldvogel.liblinear.Model
 
nr_fold - Variable in class de.bwaldvogel.liblinear.Train
 
nrm2_sq(Feature[]) - Static method in class de.bwaldvogel.liblinear.SparseOperator
 
nu - Variable in class de.bwaldvogel.liblinear.Parameter
 

O

ONECLASS_SVM - de.bwaldvogel.liblinear.SolverType
one-class support vector machine (dual)
OUTPUT_MUTEX - Static variable in class de.bwaldvogel.liblinear.Linear
 

P

p - Variable in class de.bwaldvogel.liblinear.L2R_L2_SvrFunction
 
p - Variable in class de.bwaldvogel.liblinear.Parameter
 
P_specified - Variable in class de.bwaldvogel.liblinear.Train
 
param - Variable in class de.bwaldvogel.liblinear.Train
 
Parameter - Class in de.bwaldvogel.liblinear
 
Parameter(SolverType, double, double) - Constructor for class de.bwaldvogel.liblinear.Parameter
 
Parameter(SolverType, double, double, double) - Constructor for class de.bwaldvogel.liblinear.Parameter
 
Parameter(SolverType, double, double, int, double) - Constructor for class de.bwaldvogel.liblinear.Parameter
 
Parameter(SolverType, double, int, double) - Constructor for class de.bwaldvogel.liblinear.Parameter
 
ParameterCSearchResult - Class in de.bwaldvogel.liblinear
 
ParameterCSearchResult(double, double) - Constructor for class de.bwaldvogel.liblinear.ParameterCSearchResult
 
ParameterSearchResult - Class in de.bwaldvogel.liblinear
 
ParameterSearchResult(double, double, double) - Constructor for class de.bwaldvogel.liblinear.ParameterSearchResult
 
parse_command_line(String[]) - Method in class de.bwaldvogel.liblinear.Train
 
pcg(double[], double[], double[], double[]) - Method in class de.bwaldvogel.liblinear.Newton
 
pop() - Method in class de.bwaldvogel.liblinear.Heap
 
predict(Model, Feature[]) - Static method in class de.bwaldvogel.liblinear.Linear
 
Predict - Class in de.bwaldvogel.liblinear
 
Predict() - Constructor for class de.bwaldvogel.liblinear.Predict
 
predictProbability(Model, Feature[], double[]) - Static method in class de.bwaldvogel.liblinear.Linear
 
predictValues(Model, Feature[], double[]) - Static method in class de.bwaldvogel.liblinear.Linear
 
printf(Formatter, String, Object...) - Static method in class de.bwaldvogel.liblinear.Linear
 
prob - Variable in class de.bwaldvogel.liblinear.L2R_ErmFunction
 
prob - Variable in class de.bwaldvogel.liblinear.SolverMCSVM_CS
 
prob - Variable in class de.bwaldvogel.liblinear.Train
 
Problem - Class in de.bwaldvogel.liblinear
Describes the problem
Problem() - Constructor for class de.bwaldvogel.liblinear.Problem
 
push(Feature) - Method in class de.bwaldvogel.liblinear.Heap
 

R

random - Variable in class de.bwaldvogel.liblinear.Parameter
 
random - Variable in class de.bwaldvogel.liblinear.SolverMCSVM_CS
 
readFromFile(File, double) - Static method in class de.bwaldvogel.liblinear.Problem
Deprecated.
readFromFile(File, Charset, double) - Static method in class de.bwaldvogel.liblinear.Problem
readFromFile(Path, double) - Static method in class de.bwaldvogel.liblinear.Problem
readFromFile(Path, Charset, double) - Static method in class de.bwaldvogel.liblinear.Problem
readFromStream(InputStream, double) - Static method in class de.bwaldvogel.liblinear.Problem
readFromStream(InputStream, Charset, double) - Static method in class de.bwaldvogel.liblinear.Problem
readProblem(File, double) - Static method in class de.bwaldvogel.liblinear.Train
Deprecated.
readProblem(File, Charset, double) - Static method in class de.bwaldvogel.liblinear.Train
readProblem(InputStream, double) - Static method in class de.bwaldvogel.liblinear.Train
 
readProblem(InputStream, Charset, double) - Static method in class de.bwaldvogel.liblinear.Train
 
readProblem(String) - Method in class de.bwaldvogel.liblinear.Train
 
readProblem(String, double) - Method in class de.bwaldvogel.liblinear.Train
 
readProblem(Path) - Method in class de.bwaldvogel.liblinear.Train
 
readProblem(Path, double) - Static method in class de.bwaldvogel.liblinear.Train
reads a problem from LibSVM format
readProblem(Path, Charset, double) - Static method in class de.bwaldvogel.liblinear.Train
 
regularize_bias - Variable in class de.bwaldvogel.liblinear.L2R_ErmFunction
 
regularize_bias - Variable in class de.bwaldvogel.liblinear.Parameter
 
resetRandom() - Static method in class de.bwaldvogel.liblinear.Linear
Deprecated.
reversedMergesort(double[]) - Static method in class de.bwaldvogel.liblinear.ArraySorter
Sorts the specified array of doubles into descending order.
reversedMergesort(double[], int, int) - Static method in class de.bwaldvogel.liblinear.ArraySorter
 
rho - Variable in class de.bwaldvogel.liblinear.Model
one-class SVM only
run(String[]) - Method in class de.bwaldvogel.liblinear.Train
 

S

save(File) - Method in class de.bwaldvogel.liblinear.Model
Deprecated.
use Model.save(Path) instead
save(Writer) - Method in class de.bwaldvogel.liblinear.Model
save(Path) - Method in class de.bwaldvogel.liblinear.Model
saveModel(File, Model) - Static method in class de.bwaldvogel.liblinear.Linear
Deprecated.
saveModel(Writer, Model) - Static method in class de.bwaldvogel.liblinear.Linear
Writes the model to the modelOutput.
saveModel(Path, Model) - Static method in class de.bwaldvogel.liblinear.Linear
Writes the model to the file with ISO-8859-1 charset.
serialVersionUID - Static variable in exception de.bwaldvogel.liblinear.InvalidInputDataException
 
serialVersionUID - Static variable in class de.bwaldvogel.liblinear.Model
 
set(double) - Method in class de.bwaldvogel.liblinear.MutableDouble
 
set(int) - Method in class de.bwaldvogel.liblinear.MutableInt
 
set(int, double) - Method in class de.bwaldvogel.liblinear.DoubleArrayPointer
 
set(int, int) - Method in class de.bwaldvogel.liblinear.IntArrayPointer
 
setC(double) - Method in class de.bwaldvogel.liblinear.Parameter
C is the cost of constraints violation.
setDebugOutput(PrintStream) - Static method in class de.bwaldvogel.liblinear.Linear
 
setEps(double) - Method in class de.bwaldvogel.liblinear.Parameter
eps is the stopping criterion.
setInitSol(double[]) - Method in class de.bwaldvogel.liblinear.Parameter
 
setMaxIters(int) - Method in class de.bwaldvogel.liblinear.Parameter
 
setNu(double) - Method in class de.bwaldvogel.liblinear.Parameter
 
setOffset(int) - Method in class de.bwaldvogel.liblinear.DoubleArrayPointer
 
setOffset(int) - Method in class de.bwaldvogel.liblinear.IntArrayPointer
 
setP(double) - Method in class de.bwaldvogel.liblinear.Parameter
set the epsilon in loss function of epsilon-SVR (default 0.1)
setRandom(Random) - Method in class de.bwaldvogel.liblinear.Parameter
 
setRegularizeBias(boolean) - Method in class de.bwaldvogel.liblinear.Parameter
 
setSolverType(SolverType) - Method in class de.bwaldvogel.liblinear.Parameter
 
setValue(double) - Method in interface de.bwaldvogel.liblinear.Feature
 
setValue(double) - Method in class de.bwaldvogel.liblinear.FeatureNode
 
setWeights(double[], int[]) - Method in class de.bwaldvogel.liblinear.Parameter
nr_weight, weight_label, and weight are used to change the penalty for some classes (If the weight for a class is not changed, it is set to 1).
size - Variable in class de.bwaldvogel.liblinear.Heap
 
size() - Method in class de.bwaldvogel.liblinear.Heap
 
sizeI - Variable in class de.bwaldvogel.liblinear.L2R_L2_SvcFunction
 
solve(double[]) - Method in class de.bwaldvogel.liblinear.SolverMCSVM_CS
 
solve_l1r_l2_svc(Problem, Parameter, double[], double, double, double, int) - Static method in class de.bwaldvogel.liblinear.Linear
A coordinate descent algorithm for L1-regularized L2-loss support vector classification
solve_l1r_lr(Problem, Parameter, double[], double, double, double, int) - Static method in class de.bwaldvogel.liblinear.Linear
A coordinate descent algorithm for L1-regularized logistic regression problems
solve_l2r_l1l2_svc(Problem, Parameter, double[], double, double, int) - Static method in class de.bwaldvogel.liblinear.Linear
A coordinate descent algorithm for L1-loss and L2-loss SVM dual problems
solve_l2r_l1l2_svr(Problem, Parameter, double[], int) - Static method in class de.bwaldvogel.liblinear.Linear
A coordinate descent algorithm for L1-loss and L2-loss epsilon-SVR dual problem min_\beta 0.5\beta^T (Q + diag(lambda)) \beta - p \sum_{i=1}^l|\beta_i| + \sum_{i=1}^l yi\beta_i, s.t.
solve_l2r_lr_dual(Problem, Parameter, double[], double, double, int) - Static method in class de.bwaldvogel.liblinear.Linear
A coordinate descent algorithm for the dual of L2-regularized logistic regression problems
solve_oneclass_svm(Problem, Parameter, double[], MutableDouble, int) - Static method in class de.bwaldvogel.liblinear.Linear
 
solve_sub_problem(double, int, double, int, double[]) - Method in class de.bwaldvogel.liblinear.SolverMCSVM_CS
 
solver_specified - Variable in class de.bwaldvogel.liblinear.Train
 
SolverMCSVM_CS - Class in de.bwaldvogel.liblinear
A coordinate descent algorithm for multi-class support vector machines by Crammer and Singer
SolverMCSVM_CS(Problem, int, double[], double, Random) - Constructor for class de.bwaldvogel.liblinear.SolverMCSVM_CS
 
SOLVERS_BY_ID - Static variable in enum de.bwaldvogel.liblinear.SolverType
 
solverType - Variable in class de.bwaldvogel.liblinear.Model
 
solverType - Variable in class de.bwaldvogel.liblinear.Parameter
 
SolverType - Enum in de.bwaldvogel.liblinear
 
SolverType(int, boolean, boolean) - Constructor for enum de.bwaldvogel.liblinear.SolverType
 
sparse_dot(Feature[], Feature[]) - Static method in class de.bwaldvogel.liblinear.SparseOperator
 
SparseOperator - Class in de.bwaldvogel.liblinear
 
SparseOperator() - Constructor for class de.bwaldvogel.liblinear.SparseOperator
 
start - Variable in class de.bwaldvogel.liblinear.Linear.GroupClassesReturn
 
subXTv(double[], double[]) - Method in class de.bwaldvogel.liblinear.L2R_L2_SvcFunction
 
supportVectorRegression - Variable in enum de.bwaldvogel.liblinear.SolverType
 
swap(double[], int, int) - Static method in class de.bwaldvogel.liblinear.ArraySorter
Swaps x[a] with x[b].
swap(double[], int, int) - Static method in class de.bwaldvogel.liblinear.Linear
 
swap(int[], int, int) - Static method in class de.bwaldvogel.liblinear.Linear
 
swap(Feature[], int, int) - Static method in class de.bwaldvogel.liblinear.Linear
 
swap(IntArrayPointer, int, int) - Static method in class de.bwaldvogel.liblinear.Linear
 

T

tmp - Variable in class de.bwaldvogel.liblinear.L2R_ErmFunction
 
top() - Method in class de.bwaldvogel.liblinear.Heap
 
toString() - Method in class de.bwaldvogel.liblinear.FeatureNode
 
toString() - Method in exception de.bwaldvogel.liblinear.InvalidInputDataException
 
toString() - Method in class de.bwaldvogel.liblinear.Model
 
train(Problem, Parameter) - Static method in class de.bwaldvogel.liblinear.Linear
 
Train - Class in de.bwaldvogel.liblinear
 
Train() - Constructor for class de.bwaldvogel.liblinear.Train
 
train_one(Problem, Parameter, double[], double, double) - Static method in class de.bwaldvogel.liblinear.Linear
 
transpose(Problem) - Static method in class de.bwaldvogel.liblinear.Linear
 
type - Variable in class de.bwaldvogel.liblinear.Heap
 

V

value - Variable in class de.bwaldvogel.liblinear.FeatureNode
 
value - Variable in class de.bwaldvogel.liblinear.MutableDouble
 
value - Variable in class de.bwaldvogel.liblinear.MutableInt
 
valueOf(String) - Static method in enum de.bwaldvogel.liblinear.Heap.HeapType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum de.bwaldvogel.liblinear.SolverType
Returns the enum constant of this type with the specified name.
values() - Static method in enum de.bwaldvogel.liblinear.Heap.HeapType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum de.bwaldvogel.liblinear.SolverType
Returns an array containing the constants of this enum type, in the order they are declared.
vecswap(double[], int, int, int) - Static method in class de.bwaldvogel.liblinear.ArraySorter
Swaps x[a ..
VERSION - Static variable in class de.bwaldvogel.liblinear.Linear
 

W

w - Variable in class de.bwaldvogel.liblinear.Model
feature weight array
w_size - Variable in class de.bwaldvogel.liblinear.SolverMCSVM_CS
 
weight - Variable in class de.bwaldvogel.liblinear.Parameter
 
weightLabel - Variable in class de.bwaldvogel.liblinear.Parameter
 
wTw - Variable in class de.bwaldvogel.liblinear.L2R_ErmFunction
 
wx - Variable in class de.bwaldvogel.liblinear.L2R_ErmFunction
 

X

x - Variable in class de.bwaldvogel.liblinear.Problem
array of sparse feature nodes
XTv(double[], double[]) - Method in class de.bwaldvogel.liblinear.L2R_ErmFunction
 
Xv(double[], double[]) - Method in class de.bwaldvogel.liblinear.L2R_ErmFunction
 

Y

y - Variable in class de.bwaldvogel.liblinear.Problem
an array containing the target values

_

_array - Variable in class de.bwaldvogel.liblinear.DoubleArrayPointer
 
_array - Variable in class de.bwaldvogel.liblinear.IntArrayPointer
 
_line - Variable in exception de.bwaldvogel.liblinear.InvalidInputDataException
 
_offset - Variable in class de.bwaldvogel.liblinear.DoubleArrayPointer
 
_offset - Variable in class de.bwaldvogel.liblinear.IntArrayPointer
 
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