Sha256: 07ae4d9d67e9765d5e7696f978a988f774686af12f37a95e706f658f3c6c4aa3
Contents?: true
Size: 1.67 KB
Versions: 2
Compression:
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 |