Skip navigation links
E G I L M O P R T U W 

E

EPISILON_DEFAULT - Static variable in class org.dkpro.tc.ml.liblinear.LiblinearTestTask
 

G

getDataWriterClass() - Method in class org.dkpro.tc.ml.liblinear.LiblinearAdapter
 
getFoldDimensionBundle(String[], int) - Method in class org.dkpro.tc.ml.liblinear.LiblinearAdapter
 
getInstance() - Static method in class org.dkpro.tc.ml.liblinear.LiblinearAdapter
 
getLoadModelConnectorClass() - Method in class org.dkpro.tc.ml.liblinear.LiblinearAdapter
 
getMajorityClassBaselineIdReportClass() - Method in class org.dkpro.tc.ml.liblinear.LiblinearAdapter
 
getName() - Method in class org.dkpro.tc.ml.liblinear.LiblinearAdapter
 
getOutcomeIdReportClass() - Method in class org.dkpro.tc.ml.liblinear.LiblinearAdapter
 
getParameterC(List<Object>) - Static method in class org.dkpro.tc.ml.liblinear.LiblinearTestTask
 
getParameterEpsilon(List<Object>) - Static method in class org.dkpro.tc.ml.liblinear.LiblinearTestTask
 
getRandomBaselineIdReportClass() - Method in class org.dkpro.tc.ml.liblinear.LiblinearAdapter
 
getSaveModelTask() - Method in class org.dkpro.tc.ml.liblinear.LiblinearAdapter
 
getSolver(List<Object>) - Static method in class org.dkpro.tc.ml.liblinear.LiblinearTestTask
 
getTestTask() - Method in class org.dkpro.tc.ml.liblinear.LiblinearAdapter
 

I

initialize(UimaContext) - Method in class org.dkpro.tc.ml.liblinear.serialization.LiblinearLoadModelConnector
 

L

LiblinearAdapter - Class in org.dkpro.tc.ml.liblinear
-s type : set type of solver (default 1) 0 -- L2-regularized logistic regression (primal) 1 -- L2-regularized L2-loss support vector classification (dual) 2 -- L2-regularized L2-loss support vector classification (primal) 3 -- L2-regularized L1-loss support vector classification (dual) 4 -- multi-class support vector classification by Crammer and Singer 5 -- L1-regularized L2-loss support vector classification 6 -- L1-regularized logistic regression 7 -- L2-regularized logistic regression (dual) 11 -- L2-regularized L2-loss support vector regression (dual) 12 -- L2-regularized L1-loss support vector regression (dual) 13 -- L2-regularized L2-loss support vector regression (primal) -c cost : set the parameter C (default 1) -e epsilon : set tolerance of termination criterion -s 0 and 2 |f'(w)|_2 &lt;= eps*min(pos,neg)/l*|f'(w0)|_2, where f is the primal function and pos/neg are # of positive/negative data (default 0.01) -s 1, 3, 4 and 7 Dual maximal violation <= eps; similar to libsvm (default 0.1) -s 5 and 6 |f'(w)|_inf &le; eps*min(pos,neg)/l*|f'(w0)|_inf, where f is the primal function (default 0.01) -B bias : if bias &ge 0, instance x becomes [x; bias]; if &lt; 0, no bias term added (default -1) -wi weight: weights adjust the parameter C of different classes (see README for details)
LiblinearAdapter() - Constructor for class org.dkpro.tc.ml.liblinear.LiblinearAdapter
 
LiblinearLoadModelConnector - Class in org.dkpro.tc.ml.liblinear.serialization
 
LiblinearLoadModelConnector() - Constructor for class org.dkpro.tc.ml.liblinear.serialization.LiblinearLoadModelConnector
 
liblinearModel - Variable in class org.dkpro.tc.ml.liblinear.serialization.LiblinearLoadModelConnector
 
LiblinearPredictor - Class in org.dkpro.tc.ml.liblinear.core
 
LiblinearPredictor() - Constructor for class org.dkpro.tc.ml.liblinear.core.LiblinearPredictor
 
LiblinearSerializeModelConnector - Class in org.dkpro.tc.ml.liblinear.serialization
 
LiblinearSerializeModelConnector() - Constructor for class org.dkpro.tc.ml.liblinear.serialization.LiblinearSerializeModelConnector
 
LiblinearTestTask - Class in org.dkpro.tc.ml.liblinear
 
LiblinearTestTask() - Constructor for class org.dkpro.tc.ml.liblinear.LiblinearTestTask
 
LiblinearTrainer - Class in org.dkpro.tc.ml.liblinear.core
 
LiblinearTrainer() - Constructor for class org.dkpro.tc.ml.liblinear.core.LiblinearTrainer
 

M

mergeWithGold(List<String>, File) - Method in class org.dkpro.tc.ml.liblinear.LiblinearTestTask
 

O

org.dkpro.tc.ml.liblinear - package org.dkpro.tc.ml.liblinear
 
org.dkpro.tc.ml.liblinear.core - package org.dkpro.tc.ml.liblinear.core
 
org.dkpro.tc.ml.liblinear.serialization - package org.dkpro.tc.ml.liblinear.serialization
 

P

PARAM_C_DEFAULT - Static variable in class org.dkpro.tc.ml.liblinear.LiblinearTestTask
 
predict(File, Model) - Method in class org.dkpro.tc.ml.liblinear.core.LiblinearPredictor
 
predict(File, File) - Method in class org.dkpro.tc.ml.liblinear.core.LiblinearPredictor
 

R

runPrediction(TaskContext, Object) - Method in class org.dkpro.tc.ml.liblinear.LiblinearTestTask
 
runPrediction(File) - Method in class org.dkpro.tc.ml.liblinear.serialization.LiblinearLoadModelConnector
 

T

toString() - Method in class org.dkpro.tc.ml.liblinear.LiblinearAdapter
 
train(File, File, List<String>) - Method in class org.dkpro.tc.ml.liblinear.core.LiblinearTrainer
 
train(SolverType, double, double, File, File) - Method in class org.dkpro.tc.ml.liblinear.core.LiblinearTrainer
 
trainModel(TaskContext) - Method in class org.dkpro.tc.ml.liblinear.LiblinearTestTask
 
trainModel(TaskContext, File) - Method in class org.dkpro.tc.ml.liblinear.serialization.LiblinearSerializeModelConnector
 

U

useSparseFeatures() - Method in class org.dkpro.tc.ml.liblinear.LiblinearAdapter
 

W

writeAdapter() - Method in class org.dkpro.tc.ml.liblinear.serialization.LiblinearSerializeModelConnector
 
writePredictions(File, List<String>, boolean) - Static method in class org.dkpro.tc.ml.liblinear.LiblinearTestTask
 
E G I L M O P R T U W 
Skip navigation links

Copyright © 2013–2019 Ubiquitous Knowledge Processing (UKP) Lab. All rights reserved.