--- !ruby/object:Gem::Specification name: svmkit version: !ruby/object:Gem::Version version: 0.4.0 platform: ruby authors: - yoshoku autorequire: bindir: exe cert_chain: [] date: 2018-06-02 00:00:00.000000000 Z dependencies: - !ruby/object:Gem::Dependency name: numo-narray requirement: !ruby/object:Gem::Requirement requirements: - - ">=" - !ruby/object:Gem::Version version: 0.9.0 type: :runtime prerelease: false version_requirements: !ruby/object:Gem::Requirement requirements: - - ">=" - !ruby/object:Gem::Version version: 0.9.0 - !ruby/object:Gem::Dependency name: bundler requirement: !ruby/object:Gem::Requirement requirements: - - "~>" - !ruby/object:Gem::Version version: '1.16' type: :development prerelease: false version_requirements: !ruby/object:Gem::Requirement requirements: - - "~>" - !ruby/object:Gem::Version version: '1.16' - !ruby/object:Gem::Dependency name: coveralls requirement: !ruby/object:Gem::Requirement requirements: - - "~>" - !ruby/object:Gem::Version version: '0.8' type: :development prerelease: false version_requirements: !ruby/object:Gem::Requirement requirements: - - "~>" - !ruby/object:Gem::Version version: '0.8' - !ruby/object:Gem::Dependency name: rake requirement: !ruby/object:Gem::Requirement requirements: - - "~>" - !ruby/object:Gem::Version version: '12.0' type: :development prerelease: false version_requirements: !ruby/object:Gem::Requirement requirements: - - "~>" - !ruby/object:Gem::Version version: '12.0' - !ruby/object:Gem::Dependency name: rspec requirement: !ruby/object:Gem::Requirement requirements: - - "~>" - !ruby/object:Gem::Version version: '3.0' type: :development prerelease: false version_requirements: !ruby/object:Gem::Requirement requirements: - - "~>" - !ruby/object:Gem::Version version: '3.0' description: | SVMKit is a machine learninig library in Ruby. SVMKit provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. SVMKit currently supports Linear / Kernel Support Vector Machine, Logistic Regression, Ridge, Lasso, Factorization Machine, Naive Bayes, Decision Tree, Random Forest, K-nearest neighbor algorithm, and cross-validation. email: - yoshoku@outlook.com executables: [] extensions: [] extra_rdoc_files: [] files: - ".coveralls.yml" - ".gitignore" - ".rspec" - ".rubocop.yml" - ".rubocop_todo.yml" - ".travis.yml" - CODE_OF_CONDUCT.md - Gemfile - HISTORY.md - LICENSE.txt - README.md - Rakefile - bin/console - bin/setup - lib/svmkit.rb - lib/svmkit/base/base_estimator.rb - lib/svmkit/base/classifier.rb - lib/svmkit/base/evaluator.rb - lib/svmkit/base/regressor.rb - lib/svmkit/base/splitter.rb - lib/svmkit/base/transformer.rb - lib/svmkit/dataset.rb - lib/svmkit/ensemble/random_forest_classifier.rb - lib/svmkit/ensemble/random_forest_regressor.rb - lib/svmkit/evaluation_measure/accuracy.rb - lib/svmkit/evaluation_measure/f_score.rb - lib/svmkit/evaluation_measure/log_loss.rb - lib/svmkit/evaluation_measure/mean_absolute_error.rb - lib/svmkit/evaluation_measure/mean_squared_error.rb - lib/svmkit/evaluation_measure/precision.rb - lib/svmkit/evaluation_measure/precision_recall.rb - lib/svmkit/evaluation_measure/r2_score.rb - lib/svmkit/evaluation_measure/recall.rb - lib/svmkit/kernel_approximation/rbf.rb - lib/svmkit/kernel_machine/kernel_svc.rb - lib/svmkit/linear_model/lasso.rb - lib/svmkit/linear_model/logistic_regression.rb - lib/svmkit/linear_model/ridge.rb - lib/svmkit/linear_model/svc.rb - lib/svmkit/linear_model/svr.rb - lib/svmkit/model_selection/cross_validation.rb - lib/svmkit/model_selection/k_fold.rb - lib/svmkit/model_selection/stratified_k_fold.rb - lib/svmkit/multiclass/one_vs_rest_classifier.rb - lib/svmkit/naive_bayes/naive_bayes.rb - lib/svmkit/nearest_neighbors/k_neighbors_classifier.rb - lib/svmkit/nearest_neighbors/k_neighbors_regressor.rb - lib/svmkit/optimizer/nadam.rb - lib/svmkit/pairwise_metric.rb - lib/svmkit/polynomial_model/factorization_machine_classifier.rb - lib/svmkit/polynomial_model/factorization_machine_regressor.rb - lib/svmkit/preprocessing/l2_normalizer.rb - lib/svmkit/preprocessing/label_encoder.rb - lib/svmkit/preprocessing/min_max_scaler.rb - lib/svmkit/preprocessing/one_hot_encoder.rb - lib/svmkit/preprocessing/standard_scaler.rb - lib/svmkit/probabilistic_output.rb - lib/svmkit/tree/decision_tree_classifier.rb - lib/svmkit/tree/decision_tree_regressor.rb - lib/svmkit/tree/node.rb - lib/svmkit/validation.rb - lib/svmkit/version.rb - svmkit.gemspec homepage: https://github.com/yoshoku/svmkit licenses: - BSD-2-Clause metadata: {} post_install_message: rdoc_options: [] require_paths: - lib required_ruby_version: !ruby/object:Gem::Requirement requirements: - - ">=" - !ruby/object:Gem::Version version: '2.1' required_rubygems_version: !ruby/object:Gem::Requirement requirements: - - ">=" - !ruby/object:Gem::Version version: '0' requirements: [] rubyforge_project: rubygems_version: 2.7.6 signing_key: specification_version: 4 summary: SVMKit is a machine learninig library in Ruby. SVMKit provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. test_files: []