# -*- encoding: utf-8 -*-
# stub: rumale 0.26.0 ruby lib

Gem::Specification.new do |s|
  s.name = "rumale".freeze
  s.version = "0.26.0".freeze

  s.required_rubygems_version = Gem::Requirement.new(">= 0".freeze) if s.respond_to? :required_rubygems_version=
  s.metadata = { "changelog_uri" => "https://github.com/yoshoku/rumale/blob/main/CHANGELOG.md", "documentation_uri" => "https://yoshoku.github.io/rumale/doc/", "homepage_uri" => "https://github.com/yoshoku/rumale", "rubygems_mfa_required" => "true", "source_code_uri" => "https://github.com/yoshoku/rumale" } if s.respond_to? :metadata=
  s.require_paths = ["lib".freeze]
  s.authors = ["yoshoku".freeze]
  s.bindir = "exe".freeze
  s.date = "2023-02-19"
  s.description = "Rumale is a machine learning library in Ruby.\nRumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.\nRumale supports Support Vector Machine,\nLogistic Regression, Ridge, Lasso,\nMulti-layer Perceptron,\nNaive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,\nK-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,\nMutidimensional Scaling, t-SNE,\nFisher Discriminant Analysis, Neighbourhood Component Analysis,\nPrincipal Component Analysis, Non-negative Matrix Factorization,\nand many other algorithms.\n".freeze
  s.email = ["yoshoku@outlook.com".freeze]
  s.files = ["LICENSE.txt".freeze, "README.md".freeze, "lib/rumale.rb".freeze, "lib/rumale/version.rb".freeze]
  s.homepage = "https://github.com/yoshoku/rumale".freeze
  s.licenses = ["BSD-3-Clause".freeze]
  s.rubygems_version = "3.5.10".freeze
  s.summary = "Rumale is a machine learning library in Ruby. Rumale supports Support Vector Machine, Logistic Regression, Multi-layer Perceptron, Naive Bayes, Decision Tree, Random Forest, K-Means, Gaussian Mixture Model, DBSCAN, Principal Component Analysis, and many other algorithms.".freeze

  s.specification_version = 4

  s.add_runtime_dependency(%q<numo-narray>.freeze, [">= 0.9.1".freeze])
  s.add_runtime_dependency(%q<rumale-clustering>.freeze, ["~> 0.26.0".freeze])
  s.add_runtime_dependency(%q<rumale-core>.freeze, ["~> 0.26.0".freeze])
  s.add_runtime_dependency(%q<rumale-decomposition>.freeze, ["~> 0.26.0".freeze])
  s.add_runtime_dependency(%q<rumale-ensemble>.freeze, ["~> 0.26.0".freeze])
  s.add_runtime_dependency(%q<rumale-evaluation_measure>.freeze, ["~> 0.26.0".freeze])
  s.add_runtime_dependency(%q<rumale-feature_extraction>.freeze, ["~> 0.26.0".freeze])
  s.add_runtime_dependency(%q<rumale-kernel_approximation>.freeze, ["~> 0.26.0".freeze])
  s.add_runtime_dependency(%q<rumale-kernel_machine>.freeze, ["~> 0.26.0".freeze])
  s.add_runtime_dependency(%q<rumale-linear_model>.freeze, ["~> 0.26.0".freeze])
  s.add_runtime_dependency(%q<rumale-manifold>.freeze, ["~> 0.26.0".freeze])
  s.add_runtime_dependency(%q<rumale-metric_learning>.freeze, ["~> 0.26.0".freeze])
  s.add_runtime_dependency(%q<rumale-model_selection>.freeze, ["~> 0.26.0".freeze])
  s.add_runtime_dependency(%q<rumale-naive_bayes>.freeze, ["~> 0.26.0".freeze])
  s.add_runtime_dependency(%q<rumale-nearest_neighbors>.freeze, ["~> 0.26.0".freeze])
  s.add_runtime_dependency(%q<rumale-neural_network>.freeze, ["~> 0.26.0".freeze])
  s.add_runtime_dependency(%q<rumale-pipeline>.freeze, ["~> 0.26.0".freeze])
  s.add_runtime_dependency(%q<rumale-preprocessing>.freeze, ["~> 0.26.0".freeze])
  s.add_runtime_dependency(%q<rumale-tree>.freeze, ["~> 0.26.0".freeze])
end