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!!