svmkit.gemspec in svmkit-0.2.1 vs svmkit.gemspec in svmkit-0.2.2

- old
+ new

@@ -1,24 +1,25 @@ # coding: utf-8 lib = File.expand_path('../lib', __FILE__) $LOAD_PATH.unshift(lib) unless $LOAD_PATH.include?(lib) require 'svmkit/version' -SVMKit::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 Gem::Specification.new do |spec| spec.name = 'svmkit' spec.version = SVMKit::VERSION spec.authors = ['yoshoku'] spec.email = ['yoshoku@outlook.com'] - spec.summary = %q{SVMKit is an experimental library of machine learning in Ruby.} - spec.description = SVMKit::DESCRIPTION + 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)/}) @@ -27,15 +28,15 @@ 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', '~> 0.9.0.5' + spec.add_runtime_dependency 'numo-narray', '~> 0.9.0' - spec.add_development_dependency 'bundler', '~> 1.15' - spec.add_development_dependency 'rake', '~> 10.0' + 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', '~> 0.15.1' + spec.add_development_dependency 'simplecov', '~> 0.15' spec.post_install_message = <<MSG ************************************************************************* Thank you for installing SVMKit!!