# -*- encoding: utf-8 -*-
# stub: rumale 0.22.1 ruby lib
# stub: ext/rumale/extconf.rb

Gem::Specification.new do |s|
  s.name = "rumale".freeze
  s.version = "0.22.1".freeze

  s.required_rubygems_version = Gem::Requirement.new(">= 0".freeze) if s.respond_to? :required_rubygems_version=
  s.metadata = { "bug_tracker_uri" => "https://github.com/yoshoku/rumale/issues", "changelog_uri" => "https://github.com/yoshoku/rumale/blob/master/CHANGELOG.md", "documentation_uri" => "https://yoshoku.github.io/rumale/doc/", "homepage_uri" => "https://github.com/yoshoku/rumale", "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 = "2020-12-05"
  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.extensions = ["ext/rumale/extconf.rb".freeze]
  s.files = [".github/workflows/build.yml".freeze, ".gitignore".freeze, ".rspec".freeze, ".rubocop.yml".freeze, ".travis.yml".freeze, "CHANGELOG.md".freeze, "CODE_OF_CONDUCT.md".freeze, "Gemfile".freeze, "LICENSE.txt".freeze, "README.md".freeze, "Rakefile".freeze, "ext/rumale/extconf.rb".freeze, "ext/rumale/rumale.c".freeze, "ext/rumale/rumale.h".freeze, "ext/rumale/tree.c".freeze, "ext/rumale/tree.h".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/gaussian_mixture.rb".freeze, "lib/rumale/clustering/hdbscan.rb".freeze, "lib/rumale/clustering/k_means.rb".freeze, "lib/rumale/clustering/k_medoids.rb".freeze, "lib/rumale/clustering/mini_batch_k_means.rb".freeze, "lib/rumale/clustering/power_iteration.rb".freeze, "lib/rumale/clustering/single_linkage.rb".freeze, "lib/rumale/clustering/snn.rb".freeze, "lib/rumale/clustering/spectral_clustering.rb".freeze, "lib/rumale/dataset.rb".freeze, "lib/rumale/decomposition/factor_analysis.rb".freeze, "lib/rumale/decomposition/fast_ica.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/extra_trees_classifier.rb".freeze, "lib/rumale/ensemble/extra_trees_regressor.rb".freeze, "lib/rumale/ensemble/gradient_boosting_classifier.rb".freeze, "lib/rumale/ensemble/gradient_boosting_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/calinski_harabasz_score.rb".freeze, "lib/rumale/evaluation_measure/davies_bouldin_score.rb".freeze, "lib/rumale/evaluation_measure/explained_variance_score.rb".freeze, "lib/rumale/evaluation_measure/f_score.rb".freeze, "lib/rumale/evaluation_measure/function.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/evaluation_measure/roc_auc.rb".freeze, "lib/rumale/evaluation_measure/silhouette_score.rb".freeze, "lib/rumale/feature_extraction/feature_hasher.rb".freeze, "lib/rumale/feature_extraction/hash_vectorizer.rb".freeze, "lib/rumale/feature_extraction/tfidf_transformer.rb".freeze, "lib/rumale/kernel_approximation/nystroem.rb".freeze, "lib/rumale/kernel_approximation/rbf.rb".freeze, "lib/rumale/kernel_machine/kernel_fda.rb".freeze, "lib/rumale/kernel_machine/kernel_pca.rb".freeze, "lib/rumale/kernel_machine/kernel_ridge.rb".freeze, "lib/rumale/kernel_machine/kernel_svc.rb".freeze, "lib/rumale/linear_model/base_sgd.rb".freeze, "lib/rumale/linear_model/elastic_net.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/manifold/mds.rb".freeze, "lib/rumale/manifold/tsne.rb".freeze, "lib/rumale/metric_learning/fisher_discriminant_analysis.rb".freeze, "lib/rumale/metric_learning/mlkr.rb".freeze, "lib/rumale/metric_learning/neighbourhood_component_analysis.rb".freeze, "lib/rumale/model_selection/cross_validation.rb".freeze, "lib/rumale/model_selection/function.rb".freeze, "lib/rumale/model_selection/grid_search_cv.rb".freeze, "lib/rumale/model_selection/group_k_fold.rb".freeze, "lib/rumale/model_selection/group_shuffle_split.rb".freeze, "lib/rumale/model_selection/k_fold.rb".freeze, "lib/rumale/model_selection/shuffle_split.rb".freeze, "lib/rumale/model_selection/stratified_k_fold.rb".freeze, "lib/rumale/model_selection/stratified_shuffle_split.rb".freeze, "lib/rumale/model_selection/time_series_split.rb".freeze, "lib/rumale/multiclass/one_vs_rest_classifier.rb".freeze, "lib/rumale/naive_bayes/base_naive_bayes.rb".freeze, "lib/rumale/naive_bayes/bernoulli_nb.rb".freeze, "lib/rumale/naive_bayes/complement_nb.rb".freeze, "lib/rumale/naive_bayes/gaussian_nb.rb".freeze, "lib/rumale/naive_bayes/multinomial_nb.rb".freeze, "lib/rumale/naive_bayes/negation_nb.rb".freeze, "lib/rumale/nearest_neighbors/k_neighbors_classifier.rb".freeze, "lib/rumale/nearest_neighbors/k_neighbors_regressor.rb".freeze, "lib/rumale/nearest_neighbors/vp_tree.rb".freeze, "lib/rumale/neural_network/adam.rb".freeze, "lib/rumale/neural_network/base_mlp.rb".freeze, "lib/rumale/neural_network/mlp_classifier.rb".freeze, "lib/rumale/neural_network/mlp_regressor.rb".freeze, "lib/rumale/pairwise_metric.rb".freeze, "lib/rumale/pipeline/feature_union.rb".freeze, "lib/rumale/pipeline/pipeline.rb".freeze, "lib/rumale/preprocessing/bin_discretizer.rb".freeze, "lib/rumale/preprocessing/binarizer.rb".freeze, "lib/rumale/preprocessing/l1_normalizer.rb".freeze, "lib/rumale/preprocessing/l2_normalizer.rb".freeze, "lib/rumale/preprocessing/label_binarizer.rb".freeze, "lib/rumale/preprocessing/label_encoder.rb".freeze, "lib/rumale/preprocessing/max_abs_scaler.rb".freeze, "lib/rumale/preprocessing/max_normalizer.rb".freeze, "lib/rumale/preprocessing/min_max_scaler.rb".freeze, "lib/rumale/preprocessing/one_hot_encoder.rb".freeze, "lib/rumale/preprocessing/ordinal_encoder.rb".freeze, "lib/rumale/preprocessing/polynomial_features.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/extra_tree_classifier.rb".freeze, "lib/rumale/tree/extra_tree_regressor.rb".freeze, "lib/rumale/tree/gradient_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.rubygems_version = "3.5.10".freeze
  s.summary = "Rumale is a machine learning 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_runtime_dependency(%q<lbfgsb>.freeze, [">= 0.3.0".freeze])
end