# -*- encoding: utf-8 -*- # stub: svmkit 0.2.1 ruby lib Gem::Specification.new do |s| s.name = "svmkit".freeze s.version = "0.2.1".freeze s.required_rubygems_version = Gem::Requirement.new(">= 0".freeze) if s.respond_to? :required_rubygems_version= s.require_paths = ["lib".freeze] s.authors = ["yoshoku".freeze] s.bindir = "exe".freeze s.date = "2017-12-03" s.description = "SVMKit is a library for machine learninig in Ruby.\nSVMKit implements machine learning algorithms with an interface similar to Scikit-Learn in Python.\nHowever, since SVMKit is an experimental library, there are few machine learning algorithms implemented.\n".freeze s.email = ["yoshoku@outlook.com".freeze] s.files = [".gitignore".freeze, ".rspec".freeze, ".rubocop.yml".freeze, ".travis.yml".freeze, "CODE_OF_CONDUCT.md".freeze, "Gemfile".freeze, "HISTORY.md".freeze, "LICENSE.txt".freeze, "README.md".freeze, "Rakefile".freeze, "bin/console".freeze, "bin/setup".freeze, "lib/svmkit.rb".freeze, "lib/svmkit/base/base_estimator.rb".freeze, "lib/svmkit/base/classifier.rb".freeze, "lib/svmkit/base/transformer.rb".freeze, "lib/svmkit/dataset.rb".freeze, "lib/svmkit/kernel_approximation/rbf.rb".freeze, "lib/svmkit/kernel_machine/kernel_svc.rb".freeze, "lib/svmkit/linear_model/logistic_regression.rb".freeze, "lib/svmkit/linear_model/svc.rb".freeze, "lib/svmkit/multiclass/one_vs_rest_classifier.rb".freeze, "lib/svmkit/nearest_neighbors/k_neighbors_classifier.rb".freeze, "lib/svmkit/pairwise_metric.rb".freeze, "lib/svmkit/preprocessing/l2_normalizer.rb".freeze, "lib/svmkit/preprocessing/min_max_scaler.rb".freeze, "lib/svmkit/preprocessing/standard_scaler.rb".freeze, "lib/svmkit/version.rb".freeze, "svmkit.gemspec".freeze] s.homepage = "https://github.com/yoshoku/svmkit".freeze s.licenses = ["BSD-2-Clause".freeze] s.post_install_message = "*************************************************************************\nThank you for installing SVMKit!!\n\nNote that the SVMKit has been changed to use Numo::NArray for\nlinear algebra library from version 0.2.0.\n*************************************************************************\n".freeze s.required_ruby_version = Gem::Requirement.new(">= 2.1".freeze) s.rubygems_version = "3.5.10".freeze s.summary = "SVMKit is an experimental library of machine learning in Ruby.".freeze s.specification_version = 4 s.add_runtime_dependency(%q.freeze, ["~> 0.9.0.5".freeze]) s.add_development_dependency(%q.freeze, ["~> 1.15".freeze]) s.add_development_dependency(%q.freeze, ["~> 10.0".freeze]) s.add_development_dependency(%q.freeze, ["~> 3.0".freeze]) s.add_development_dependency(%q.freeze, ["~> 0.15.1".freeze]) end