# -*- encoding: utf-8 -*-
# stub: rumale 0.8.1 ruby lib

Gem::Specification.new do |s|
  s.name = "rumale".freeze
  s.version = "0.8.1".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 = "2019-03-08"
  s.description = "Rumale is a machine learninig library in Ruby.\nRumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.\nRumale currently supports Linear / Kernel Support Vector Machine,\nLogistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,\nNaive Bayes, Decision Tree, AdaBoost, Random Forest, K-nearest neighbor algorithm,\nK-Means, DBSCAN, Principal Component Analysis, and Non-negative Matrix Factorization.\n".freeze
  s.email = ["yoshoku@outlook.com".freeze]
  s.files = [".coveralls.yml".freeze, ".gitignore".freeze, ".rspec".freeze, ".rubocop.yml".freeze, ".rubocop_todo.yml".freeze, ".travis.yml".freeze, "CHANGELOG.md".freeze, "CODE_OF_CONDUCT.md".freeze, "Gemfile".freeze, "LICENSE.txt".freeze, "README.md".freeze, "Rakefile".freeze, "bin/console".freeze, "bin/setup".freeze, "lib/rumale.rb".freeze, "lib/rumale/base/base_estimator.rb".freeze, "lib/rumale/base/classifier.rb".freeze, "lib/rumale/base/cluster_analyzer.rb".freeze, "lib/rumale/base/evaluator.rb".freeze, "lib/rumale/base/regressor.rb".freeze, "lib/rumale/base/splitter.rb".freeze, "lib/rumale/base/transformer.rb".freeze, "lib/rumale/clustering/dbscan.rb".freeze, "lib/rumale/clustering/k_means.rb".freeze, "lib/rumale/dataset.rb".freeze, "lib/rumale/decomposition/nmf.rb".freeze, "lib/rumale/decomposition/pca.rb".freeze, "lib/rumale/ensemble/ada_boost_classifier.rb".freeze, "lib/rumale/ensemble/ada_boost_regressor.rb".freeze, "lib/rumale/ensemble/random_forest_classifier.rb".freeze, "lib/rumale/ensemble/random_forest_regressor.rb".freeze, "lib/rumale/evaluation_measure/accuracy.rb".freeze, "lib/rumale/evaluation_measure/adjusted_rand_score.rb".freeze, "lib/rumale/evaluation_measure/explained_variance_score.rb".freeze, "lib/rumale/evaluation_measure/f_score.rb".freeze, "lib/rumale/evaluation_measure/log_loss.rb".freeze, "lib/rumale/evaluation_measure/mean_absolute_error.rb".freeze, "lib/rumale/evaluation_measure/mean_squared_error.rb".freeze, "lib/rumale/evaluation_measure/mean_squared_log_error.rb".freeze, "lib/rumale/evaluation_measure/median_absolute_error.rb".freeze, "lib/rumale/evaluation_measure/mutual_information.rb".freeze, "lib/rumale/evaluation_measure/normalized_mutual_information.rb".freeze, "lib/rumale/evaluation_measure/precision.rb".freeze, "lib/rumale/evaluation_measure/precision_recall.rb".freeze, "lib/rumale/evaluation_measure/purity.rb".freeze, "lib/rumale/evaluation_measure/r2_score.rb".freeze, "lib/rumale/evaluation_measure/recall.rb".freeze, "lib/rumale/kernel_approximation/rbf.rb".freeze, "lib/rumale/kernel_machine/kernel_svc.rb".freeze, "lib/rumale/linear_model/base_linear_model.rb".freeze, "lib/rumale/linear_model/lasso.rb".freeze, "lib/rumale/linear_model/linear_regression.rb".freeze, "lib/rumale/linear_model/logistic_regression.rb".freeze, "lib/rumale/linear_model/ridge.rb".freeze, "lib/rumale/linear_model/svc.rb".freeze, "lib/rumale/linear_model/svr.rb".freeze, "lib/rumale/model_selection/cross_validation.rb".freeze, "lib/rumale/model_selection/grid_search_cv.rb".freeze, "lib/rumale/model_selection/k_fold.rb".freeze, "lib/rumale/model_selection/stratified_k_fold.rb".freeze, "lib/rumale/multiclass/one_vs_rest_classifier.rb".freeze, "lib/rumale/naive_bayes/naive_bayes.rb".freeze, "lib/rumale/nearest_neighbors/k_neighbors_classifier.rb".freeze, "lib/rumale/nearest_neighbors/k_neighbors_regressor.rb".freeze, "lib/rumale/optimizer/nadam.rb".freeze, "lib/rumale/optimizer/rmsprop.rb".freeze, "lib/rumale/optimizer/sgd.rb".freeze, "lib/rumale/optimizer/yellow_fin.rb".freeze, "lib/rumale/pairwise_metric.rb".freeze, "lib/rumale/pipeline/pipeline.rb".freeze, "lib/rumale/polynomial_model/base_factorization_machine.rb".freeze, "lib/rumale/polynomial_model/factorization_machine_classifier.rb".freeze, "lib/rumale/polynomial_model/factorization_machine_regressor.rb".freeze, "lib/rumale/preprocessing/l2_normalizer.rb".freeze, "lib/rumale/preprocessing/label_encoder.rb".freeze, "lib/rumale/preprocessing/min_max_scaler.rb".freeze, "lib/rumale/preprocessing/one_hot_encoder.rb".freeze, "lib/rumale/preprocessing/standard_scaler.rb".freeze, "lib/rumale/probabilistic_output.rb".freeze, "lib/rumale/tree/base_decision_tree.rb".freeze, "lib/rumale/tree/decision_tree_classifier.rb".freeze, "lib/rumale/tree/decision_tree_regressor.rb".freeze, "lib/rumale/tree/node.rb".freeze, "lib/rumale/utils.rb".freeze, "lib/rumale/validation.rb".freeze, "lib/rumale/values.rb".freeze, "lib/rumale/version.rb".freeze, "rumale.gemspec".freeze]
  s.homepage = "https://github.com/yoshoku/rumale".freeze
  s.licenses = ["BSD-2-Clause".freeze]
  s.required_ruby_version = Gem::Requirement.new(">= 2.3".freeze)
  s.rubygems_version = "3.5.10".freeze
  s.summary = "Rumale is a machine learninig library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.".freeze

  s.specification_version = 4

  s.add_runtime_dependency(%q<numo-narray>.freeze, [">= 0.9.1".freeze])
  s.add_development_dependency(%q<bundler>.freeze, [">= 1.16".freeze])
  s.add_development_dependency(%q<coveralls>.freeze, ["~> 0.8".freeze])
  s.add_development_dependency(%q<rake>.freeze, ["~> 12.0".freeze])
  s.add_development_dependency(%q<rspec>.freeze, ["~> 3.0".freeze])
end