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 |