Package
weka.classifiers.functions
Synopsis
A wrapper class for the liblinear tools (the liblinear classes, typically the jar file, need to be in the classpath to use this classifier).
Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin (2008). LIBLINEAR - A Library for Large Linear Classification. URL http://www.csie.ntu.edu.tw/~cjlin/liblinear/.
Available in Weka 3.6.x - 3.7.1. Available via the package management system for Weka >= 3.7.2 (LibLINEAR)
Options
The table below describes the options available for LibLINEAR.
Option | Description |
|---|---|
SVMType | The type of SVM to use. |
bias | If >= 0, a bias term with that value is added; otherwise (<0) no bias term is added (default: 1). |
convertNominalToBinary | Whether to turn on conversion of nominal attributes to binary. |
cost | The cost parameter C. |
debug | If set to true, classifier may output additional info to the console. |
doNotReplaceMissingValues | Whether to turn off automatic replacement of missing values. WARNING: set to true only if the data does not contain missing values. |
eps | The tolerance of the termination criterion. |
normalize | Whether to normalize the data. |
probabilityEstimates | Whether to generate probability estimates instead of -1/+1 for classification problems (currently for L2-regularized logistic regression only!) |
weights | The weights to use for the classes, if empty 1 is used by default. |
Capabilities
The table below describes the capabilites of LibLINEAR.
Capability | Supported |
|---|---|
Class | Nominal class, Missing class values, Binary class |
Attributes | Binary attributes, Nominal attributes, Date attributes, Empty nominal attributes, Unary attributes, Numeric attributes |
Min # of instances | 1 |