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An implementation of the voted-perceptron algorithm.

Project Description

An implementation of the voted perceptron algorithm described in the publication below:

%0 Journal Article
%D 1999
%@ 0885-6125
%J Machine Learning
%V 37
%N 3
%R 10.1023/A:1007662407062
%T Large Margin Classification Using the Perceptron Algorithm
%U http://dx.doi.org/10.1023/A%3A1007662407062
%I Kluwer Academic Publishers
%8 1999-12-01
%A Freund, Yoav
%A Schapire, RobertE.
%P 277-296
%G English

Installation

Install the current PyPI release:

pip install votedperceptron

Or install the development version from GitHub:

pip install git+https://github.com/bmgee/votedperceptron

Usage

On GitHub see examples/mnist_example.py for an MNIST digit classification example.

Release History

Release History

This version
History Node

1.0.0.rc4

History Node

1.0.0.rc3

History Node

1.0.0.rc2

History Node

1.0.0.rc1

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
votedperceptron-1.0.0.rc4-py3-none-any.whl (12.2 kB) Copy SHA256 Checksum SHA256 py3 Wheel Jan 5, 2017
votedperceptron-1.0.0.rc4.tar.gz (13.5 kB) Copy SHA256 Checksum SHA256 Source Jan 5, 2017

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