A C D E F G H I L M N P Q R S T U V X Y

A

adaptivityControl(int) - Method in class de.uni_stuttgart.isa.liquidsvm.Config

Activates adaptivity in the hyperparameter grid.

C

calculateDataCover(int, double[][]) - Static method in class de.uni_stuttgart.isa.liquidsvm.SVM

Helper function to calculate Voronoi centers that cover the data set s.t. each cell should not have more than NNs samples.

clean() - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

Config - Class in de.uni_stuttgart.isa.liquidsvm

Config() - Constructor for class de.uni_stuttgart.isa.liquidsvm.Config

Config(Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.Config

D

Data(double[][], double[], int, int) - Constructor for class de.uni_stuttgart.isa.liquidsvm.LiquidData.Data

de.uni_stuttgart.isa.liquidsvm - package de.uni_stuttgart.isa.liquidsvm

liquidSVM contains bindings to Ingo Steinwarts liquidSVM implementation.

DEFAULT_CONSTRAINT_FACTORS - Static variable in class de.uni_stuttgart.isa.liquidsvm.SVM.NPL

DEFAULT_WEIGHTS - Static variable in class de.uni_stuttgart.isa.liquidsvm.SVM.EX

DEFAULT_WEIGHTS - Static variable in class de.uni_stuttgart.isa.liquidsvm.SVM.QT

dim - Variable in class de.uni_stuttgart.isa.liquidsvm.LiquidData.Data

dim - Variable in class de.uni_stuttgart.isa.liquidsvm.LiquidData

display(int) - Method in class de.uni_stuttgart.isa.liquidsvm.Config

Sets the display level starting at 0 which means no information.

E

ENABLE_LOAD_WITHOUT_LIBRARY - Static variable in class de.uni_stuttgart.isa.liquidsvm.SVM

entries() - Method in class de.uni_stuttgart.isa.liquidsvm.Config

Creates a List that contains all key-value pairs in the order they were set.

errors - Variable in class de.uni_stuttgart.isa.liquidsvm.ResultAndErrors

The errors of an SVM.test

EX(LiquidData) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.EX

EX(LiquidData, double[]) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.EX

EX(LiquidData, double[], Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.EX

EX(LiquidData.Data) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.EX

EX(LiquidData.Data, double[]) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.EX

EX(LiquidData.Data, double[], Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.EX

EX(double[][], double[]) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.EX

EX(double[][], double[], double[]) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.EX

EX(double[][], double[], double[], Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.EX

extractFeatures(double[][]) - Static method in class de.uni_stuttgart.isa.liquidsvm.LiquidData

extractLabels(double[][]) - Static method in class de.uni_stuttgart.isa.liquidsvm.LiquidData

F

filePrefix - Variable in class de.uni_stuttgart.isa.liquidsvm.LiquidData

finalize() - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

folds(int) - Method in class de.uni_stuttgart.isa.liquidsvm.Config

G

get(String) - Method in class de.uni_stuttgart.isa.liquidsvm.Config

getConfig(String) - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

Gets configuration of this SVM

getCover(int) - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

getLastResult() - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

Keeps the last result and errors around after SVM.test(double[][], double[], java.lang.String...)ing.

getSelectErrs() - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

Returns many information upon SVM.select(java.lang.String...)ing.

getSolutionCoeffs(int, int, int) - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

getSolutionSVs(int, int, int) - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

getTrainErrs() - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

Returns many information upon SVM.train(java.lang.String...)ing.

gridChoice(int) - Method in class de.uni_stuttgart.isa.liquidsvm.Config

Sets the hyperparameter grid.

H

has(String) - Method in class de.uni_stuttgart.isa.liquidsvm.Config

I

iris - Static variable in class de.uni_stuttgart.isa.liquidsvm.LiquidData

iris_labs - Static variable in class de.uni_stuttgart.isa.liquidsvm.LiquidData

isAutoSelect() - Method in class de.uni_stuttgart.isa.liquidsvm.Config

isAutoTrain() - Method in class de.uni_stuttgart.isa.liquidsvm.Config

isSelected() - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

Has the SVM already been selected.

isTrained() - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

Has the SVM already been trained.

L

LiquidData - Class in de.uni_stuttgart.isa.liquidsvm

Contains training and testing features and labels which are usually read from comma separated files with names filePrefix.train.csv and filePrefix.test.csv.

LiquidData(String) - Constructor for class de.uni_stuttgart.isa.liquidsvm.LiquidData

LiquidData(String, String) - Constructor for class de.uni_stuttgart.isa.liquidsvm.LiquidData

LiquidData.Data - Class in de.uni_stuttgart.isa.liquidsvm

location - Variable in class de.uni_stuttgart.isa.liquidsvm.LiquidData

LS(LiquidData) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.LS

LS(LiquidData, Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.LS

LS(LiquidData, double) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.LS

LS(LiquidData, double, Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.LS

LS(LiquidData.Data) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.LS

LS(LiquidData.Data, Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.LS

LS(LiquidData.Data, double) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.LS

LS(LiquidData.Data, double, Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.LS

LS(double[][], double[]) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.LS

LS(double[][], double[], Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.LS

LS(double[][], double[], double) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.LS

LS(double[][], double[], double, Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.LS

M

main(String[]) - Static method in class de.uni_stuttgart.isa.liquidsvm.LiquidData

matrixToString(double[][]) - Static method in class de.uni_stuttgart.isa.liquidsvm.ResultAndErrors

MAX_CPU - Static variable in class de.uni_stuttgart.isa.liquidsvm.SVM

MC(LiquidData) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.MC

MC(LiquidData, Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.MC

MC(LiquidData, String) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.MC

MC(LiquidData, String, Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.MC

MC(LiquidData.Data) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.MC

MC(LiquidData.Data, Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.MC

MC(LiquidData.Data, String) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.MC

MC(LiquidData.Data, String, Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.MC

MC(double[][], double[]) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.MC

MC(double[][], double[], Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.MC

MC(double[][], double[], String) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.MC

MC(double[][], double[], String, Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.MC

myconvert(double[]) - Static method in class de.uni_stuttgart.isa.liquidsvm.ResultAndErrors

N

NPL(LiquidData, double) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.NPL

NPL(LiquidData, double, double) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.NPL

NPL(LiquidData, double, double, double[], Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.NPL

NPL(LiquidData.Data, double) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.NPL

NPL(LiquidData.Data, double, double) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.NPL

NPL(LiquidData.Data, double, double, double[], Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.NPL

NPL(double[][], double[], double) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.NPL

NPL(double[][], double[], double, double) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.NPL

NPL(double[][], double[], double, double, double[], Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.NPL

P

partitionChoice(int) - Method in class de.uni_stuttgart.isa.liquidsvm.Config

Sets the partition choice.

predict(double[][], String...) - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

Predicts labels for the given test data.

Q

QT(LiquidData) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.QT

QT(LiquidData, double[]) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.QT

QT(LiquidData, double[], Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.QT

QT(LiquidData.Data) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.QT

QT(LiquidData.Data, double[]) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.QT

QT(LiquidData.Data, double[], Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.QT

QT(double[][], double[]) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.QT

QT(double[][], double[], double[]) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.QT

QT(double[][], double[], double[], Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.QT

R

randomSeed(int) - Method in class de.uni_stuttgart.isa.liquidsvm.Config

readSVM(String) - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

readTable(String) - Static method in class de.uni_stuttgart.isa.liquidsvm.LiquidData

readTable(String, String) - Static method in class de.uni_stuttgart.isa.liquidsvm.LiquidData

readTable(Reader, String) - Static method in class de.uni_stuttgart.isa.liquidsvm.LiquidData

remove(Object) - Method in class de.uni_stuttgart.isa.liquidsvm.Config

result - Variable in class de.uni_stuttgart.isa.liquidsvm.ResultAndErrors

The results of an SVM.test

ResultAndErrors - Class in de.uni_stuttgart.isa.liquidsvm

This class holds a result matrix and an errors matrix.

ResultAndErrors() - Constructor for class de.uni_stuttgart.isa.liquidsvm.ResultAndErrors

ResultAndErrors(double[][], double[][]) - Constructor for class de.uni_stuttgart.isa.liquidsvm.ResultAndErrors

ROC(LiquidData) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.ROC

ROC(LiquidData, int) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.ROC

ROC(LiquidData, int, Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.ROC

ROC(LiquidData.Data) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.ROC

ROC(LiquidData.Data, int) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.ROC

ROC(LiquidData.Data, int, Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.ROC

ROC(double[][], double[]) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.ROC

ROC(double[][], double[], int) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.ROC

ROC(double[][], double[], int, Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM.ROC

S

scale(boolean) - Method in class de.uni_stuttgart.isa.liquidsvm.Config

scenario(String) - Method in class de.uni_stuttgart.isa.liquidsvm.Config

Sets the scenario.

select(boolean) - Method in class de.uni_stuttgart.isa.liquidsvm.Config

Specifies whether selecting should start automagically at the end of initializing the SVM after the automatic training.

select(String...) - Method in class de.uni_stuttgart.isa.liquidsvm.SVM.EX

select(String...) - Method in class de.uni_stuttgart.isa.liquidsvm.SVM.NPL

select(String...) - Method in class de.uni_stuttgart.isa.liquidsvm.SVM.QT

select(String...) - Method in class de.uni_stuttgart.isa.liquidsvm.SVM.ROC

select(String...) - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

Selects the best hyperparameter pair according to validation error.

set(String, String) - Method in class de.uni_stuttgart.isa.liquidsvm.Config

Sets the value for the key and remembers the order in which it was added.

setConfig(String, String) - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

Sets configuration directly in the SVM.

setConfig(String, int) - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

Sets configuration directly in the SVM.

setConfig(String, double) - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

Sets configuration directly in the SVM.

setConfig(String, double[]) - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

Sets configuration directly in the SVM.

setConfigAll(Config) - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

Sets all the values in the config in this SVM.

size - Variable in class de.uni_stuttgart.isa.liquidsvm.LiquidData.Data

SVM - Class in de.uni_stuttgart.isa.liquidsvm

liquidSVM SVM base class.

SVM() - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM

For quick demonstration initialize a least squares SVM using the trees dataset.

SVM(String, double[][], double[], Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM

Initializes an SVM with training data and optionally configuration options and a scenario.

SVM(String, LiquidData.Data, Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM

Initializes an SVM with training data and optionally configuration options and a scenario.

SVM(String, LiquidData, Config) - Constructor for class de.uni_stuttgart.isa.liquidsvm.SVM

Initializes an SVM with training data and optionally configuration options and a scenario and performs testing.

SVM.EX - Class in de.uni_stuttgart.isa.liquidsvm

Expectile regression learning scenario.

SVM.LS - Class in de.uni_stuttgart.isa.liquidsvm

Least squares regression learning scenario.

SVM.MC - Class in de.uni_stuttgart.isa.liquidsvm

Binary and multi-class learning scenario.

SVM.NPL - Class in de.uni_stuttgart.isa.liquidsvm

Neyman-Pearson lemma learning scenario.

SVM.QT - Class in de.uni_stuttgart.isa.liquidsvm

Quantile regression learning scenario.

SVM.ROC - Class in de.uni_stuttgart.isa.liquidsvm

Receiver Operating Characteristic curve learning scenario.

T

test - Variable in class de.uni_stuttgart.isa.liquidsvm.LiquidData

test(double[][], double[], String...) - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

Predicts labels for the given test data and compares these to the given labs.

test(LiquidData.Data, String...) - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

Predicts labels for the given test.x data and compares these to the given test.y.

testX - Variable in class de.uni_stuttgart.isa.liquidsvm.LiquidData

testY - Variable in class de.uni_stuttgart.isa.liquidsvm.LiquidData

threads(int) - Method in class de.uni_stuttgart.isa.liquidsvm.Config

Sets the number of threads to use.

toString() - Method in class de.uni_stuttgart.isa.liquidsvm.ResultAndErrors

train(boolean) - Method in class de.uni_stuttgart.isa.liquidsvm.Config

Specifies whether training should start automagically at the end of initializing the SVM.

train - Variable in class de.uni_stuttgart.isa.liquidsvm.LiquidData

train(String...) - Method in class de.uni_stuttgart.isa.liquidsvm.SVM

Performs training on the hyperparameter grid.

trainSize - Variable in class de.uni_stuttgart.isa.liquidsvm.LiquidData

trainX - Variable in class de.uni_stuttgart.isa.liquidsvm.LiquidData

trainY - Variable in class de.uni_stuttgart.isa.liquidsvm.LiquidData

trees - Static variable in class de.uni_stuttgart.isa.liquidsvm.LiquidData

trees_labs - Static variable in class de.uni_stuttgart.isa.liquidsvm.LiquidData

U

useCells() - Method in class de.uni_stuttgart.isa.liquidsvm.Config

useCells(boolean) - Method in class de.uni_stuttgart.isa.liquidsvm.Config

Util - Class in de.uni_stuttgart.isa.liquidsvm

Util() - Constructor for class de.uni_stuttgart.isa.liquidsvm.Util

V

voronoi(int) - Method in class de.uni_stuttgart.isa.liquidsvm.Config

X

x - Variable in class de.uni_stuttgart.isa.liquidsvm.LiquidData.Data

Y

y - Variable in class de.uni_stuttgart.isa.liquidsvm.LiquidData.Data

A C D E F G H I L M N P Q R S T U V X Y