https://github.com/yoshoku/rumale-svm

Rumale::SVM provides support vector machine algorithms of LIBSVM and LIBLINEAR with Rumale interface
https://github.com/yoshoku/rumale-svm

liblinear libsvm machine-learning ruby rubyml rumale svm

Last synced: 10 days ago
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Rumale::SVM provides support vector machine algorithms of LIBSVM and LIBLINEAR with Rumale interface

• Host: GitHub
• URL: https://github.com/yoshoku/rumale-svm
• Owner: yoshoku
• License: bsd-3-clause
• Created: 2019-10-18T16:44:05.000Z (about 5 years ago)
• Default Branch: main
• Last Pushed: 2024-01-01T12:09:45.000Z (11 months ago)
• Last Synced: 2024-08-08T17:18:08.904Z (3 months ago)
• Topics: liblinear, libsvm, machine-learning, ruby, rubyml, rumale, svm
• Language: Ruby
• Homepage: https://rubygems.org/gems/rumale-svm
• Size: 156 KB
• Stars: 4
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE.txt

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README

        
# Rumale::SVM

[![Build Status](https://github.com/yoshoku/rumale-svm/workflows/build/badge.svg)](https://github.com/yoshoku/rumale-svm/actions?query=workflow%3Abuild)

[![Gem Version](https://badge.fury.io/rb/rumale-svm.svg)](https://badge.fury.io/rb/rumale-svm)

[![BSD 3-Clause License](https://img.shields.io/badge/License-BSD%203--Clause-orange.svg)](https://github.com/yoshoku/rumale-svm/blob/main/LICENSE.txt)

[![Documentation](https://img.shields.io/badge/api-reference-blue.svg)](https://yoshoku.github.io/rumale-svm/doc/)

Rumale::SVM provides support vector machine algorithms using

[LIBSVM](https://www.csie.ntu.edu.tw/~cjlin/libsvm/) and [LIBLINEAR](https://www.csie.ntu.edu.tw/~cjlin/liblinear/)

with [Rumale](https://github.com/yoshoku/rumale) interface.

## Installation

Add this line to your application's Gemfile:

```ruby

gem 'rumale-svm'

```

And then execute:

    $ bundle

Or install it yourself as:

    $ gem install rumale-svm

## Documentation

- [Rumale::SVM API Documentation](https://yoshoku.github.io/rumale-svm/doc/)

## Usage

Download pendigits dataset from [LIBSVM DATA](https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/) web page.

```sh

$ wget https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/pendigits

$ wget https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/pendigits.t

```

Training linear support vector classifier.

```ruby

require 'rumale/svm'

require 'rumale/dataset'

samples, labels = Rumale::Dataset.load_libsvm_file('pendigits')

svc = Rumale::SVM::LinearSVC.new(random_seed: 1)

svc.fit(samples, labels)

File.open('svc.dat', 'wb') { |f| f.write(Marshal.dump(svc)) }

```

Evaluate classifiction accuracy on testing datase.

```ruby

require 'rumale/svm'

require 'rumale/dataset'

samples, labels = Rumale::Dataset.load_libsvm_file('pendigits.t')

svc = Marshal.load(File.binread('svc.dat'))

puts "Accuracy: #{svc.score(samples, labels).round(3)}"

```

Execution result.

```sh

$ ruby rumale_svm_train.rb

$ ls svc.dat

svc.dat

$ ruby rumale_svm_test.rb

Accuracy: 0.835

```

## Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/yoshoku/rumale-svm. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the [Contributor Covenant](https://contributor-covenant.org) code of conduct.

## License

The gem is available as open source under the terms of the [BSD-3-Clause License](https://opensource.org/licenses/BSD-3-Clause).