VotedPerceptron
Package
weka.classifiers.functions
Synopsis
Implementation of the voted perceptron algorithm by Freund and Schapire. Globally replaces all missing values, and transforms nominal attributes into binary ones.
For more information, see:
Y. Freund, R. E. Schapire: Large margin classification using the perceptron algorithm. In: 11th Annual Conference on Computational Learning Theory, New York, NY, 209-217, 1998.
Options
The table below describes the options available for VotedPerceptron.
Option |
Description |
|---|---|
debug |
If set to true, classifier may output additional info to the console. |
exponent |
Exponent for the polynomial kernel. |
maxK |
The maximum number of alterations to the perceptron. |
numIterations |
Number of iterations to be performed. |
seed |
Seed for the random number generator. |
Capabilities
The table below describes the capabilites of VotedPerceptron.
Capability |
Supported |
|---|---|
Class |
Missing class values, Binary class |
Attributes |
Binary attributes, Nominal attributes, Missing values, Empty nominal attributes, Numeric attributes, Date attributes, Unary attributes |
Min # of instances |
0 |