Hitachi Vantara Pentaho Community Wiki
Child pages
  • LibLINEAR
Skip to end of metadata
Go to start of metadata

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

  • No labels