Sha256: 07ae4d9d67e9765d5e7696f978a988f774686af12f37a95e706f658f3c6c4aa3

Contents?: true

Size: 1.67 KB

Versions: 2

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Stored size: 1.67 KB

Contents

# coding: utf-8
lib = File.expand_path('../lib', __FILE__)
$LOAD_PATH.unshift(lib) unless $LOAD_PATH.include?(lib)
require 'svmkit/version'


Gem::Specification.new do |spec|
  spec.name          = 'svmkit'
  spec.version       = SVMKit::VERSION
  spec.authors       = ['yoshoku']
  spec.email         = ['yoshoku@outlook.com']

  spec.summary       = <<MSG
SVMKit is an experimental library of machine learning in Ruby.
MSG
  spec.description   = <<MSG
SVMKit is a library for machine learninig in Ruby.
SVMKit implements machine learning algorithms with an interface similar to Scikit-Learn in Python.
However, since SVMKit is an experimental library, there are few machine learning algorithms implemented.
MSG
  spec.homepage      = 'https://github.com/yoshoku/svmkit'
  spec.license       = 'BSD-2-Clause'

  spec.files         = `git ls-files -z`.split("\x0").reject do |f|
    f.match(%r{^(test|spec|features)/})
  end
  spec.bindir        = 'exe'
  spec.executables   = spec.files.grep(%r{^exe/}) { |f| File.basename(f) }
  spec.require_paths = ['lib']

  spec.required_ruby_version = '>= 2.1'

  spec.add_runtime_dependency 'numo-narray', '~> 0.9.0'

  spec.add_development_dependency 'bundler', '~> 1.16'
  spec.add_development_dependency 'rake', '~> 12.0'
  spec.add_development_dependency 'rspec', '~> 3.0'
  spec.add_development_dependency 'simplecov', '~> 0.15'

  spec.post_install_message = <<MSG
*************************************************************************
Thank you for installing SVMKit!!

Note that the SVMKit has been changed to use Numo::NArray for
linear algebra library from version 0.2.0.
*************************************************************************
MSG

end

Version data entries

2 entries across 2 versions & 1 rubygems

Version Path
svmkit-0.2.3 svmkit.gemspec
svmkit-0.2.2 svmkit.gemspec