--- !ruby/object:Gem::Specification
name: rumale
version: !ruby/object:Gem::Version
  version: 0.19.0
platform: ruby
authors:
- yoshoku
autorequire: 
bindir: exe
cert_chain: []
date: 2020-05-23 00:00:00.000000000 Z
dependencies:
- !ruby/object:Gem::Dependency
  name: numo-narray
  requirement: !ruby/object:Gem::Requirement
    requirements:
    - - ">="
      - !ruby/object:Gem::Version
        version: 0.9.1
  type: :runtime
  prerelease: false
  version_requirements: !ruby/object:Gem::Requirement
    requirements:
    - - ">="
      - !ruby/object:Gem::Version
        version: 0.9.1
description: |
  Rumale is a machine learning library in Ruby.
  Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
  Rumale supports Support Vector Machine,
  Logistic Regression, Ridge, Lasso,
  Multi-layer Perceptron,
  Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
  K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
  Mutidimensional Scaling, t-SNE,
  Fisher Discriminant Analysis, Neighbourhood Component Analysis,
  Principal Component Analysis, Non-negative Matrix Factorization,
  and many other algorithms.
email:
- yoshoku@outlook.com
executables: []
extensions:
- ext/rumale/extconf.rb
extra_rdoc_files: []
files:
- ".coveralls.yml"
- ".gitignore"
- ".rspec"
- ".rubocop.yml"
- ".travis.yml"
- CHANGELOG.md
- CODE_OF_CONDUCT.md
- Gemfile
- LICENSE.txt
- README.md
- Rakefile
- ext/rumale/extconf.rb
- ext/rumale/rumale.c
- ext/rumale/rumale.h
- ext/rumale/tree.c
- ext/rumale/tree.h
- lib/rumale.rb
- lib/rumale/base/base_estimator.rb
- lib/rumale/base/classifier.rb
- lib/rumale/base/cluster_analyzer.rb
- lib/rumale/base/evaluator.rb
- lib/rumale/base/regressor.rb
- lib/rumale/base/splitter.rb
- lib/rumale/base/transformer.rb
- lib/rumale/clustering/dbscan.rb
- lib/rumale/clustering/gaussian_mixture.rb
- lib/rumale/clustering/hdbscan.rb
- lib/rumale/clustering/k_means.rb
- lib/rumale/clustering/k_medoids.rb
- lib/rumale/clustering/power_iteration.rb
- lib/rumale/clustering/single_linkage.rb
- lib/rumale/clustering/snn.rb
- lib/rumale/clustering/spectral_clustering.rb
- lib/rumale/dataset.rb
- lib/rumale/decomposition/factor_analysis.rb
- lib/rumale/decomposition/fast_ica.rb
- lib/rumale/decomposition/nmf.rb
- lib/rumale/decomposition/pca.rb
- lib/rumale/ensemble/ada_boost_classifier.rb
- lib/rumale/ensemble/ada_boost_regressor.rb
- lib/rumale/ensemble/extra_trees_classifier.rb
- lib/rumale/ensemble/extra_trees_regressor.rb
- lib/rumale/ensemble/gradient_boosting_classifier.rb
- lib/rumale/ensemble/gradient_boosting_regressor.rb
- lib/rumale/ensemble/random_forest_classifier.rb
- lib/rumale/ensemble/random_forest_regressor.rb
- lib/rumale/evaluation_measure/accuracy.rb
- lib/rumale/evaluation_measure/adjusted_rand_score.rb
- lib/rumale/evaluation_measure/calinski_harabasz_score.rb
- lib/rumale/evaluation_measure/davies_bouldin_score.rb
- lib/rumale/evaluation_measure/explained_variance_score.rb
- lib/rumale/evaluation_measure/f_score.rb
- lib/rumale/evaluation_measure/function.rb
- lib/rumale/evaluation_measure/log_loss.rb
- lib/rumale/evaluation_measure/mean_absolute_error.rb
- lib/rumale/evaluation_measure/mean_squared_error.rb
- lib/rumale/evaluation_measure/mean_squared_log_error.rb
- lib/rumale/evaluation_measure/median_absolute_error.rb
- lib/rumale/evaluation_measure/mutual_information.rb
- lib/rumale/evaluation_measure/normalized_mutual_information.rb
- lib/rumale/evaluation_measure/precision.rb
- lib/rumale/evaluation_measure/precision_recall.rb
- lib/rumale/evaluation_measure/purity.rb
- lib/rumale/evaluation_measure/r2_score.rb
- lib/rumale/evaluation_measure/recall.rb
- lib/rumale/evaluation_measure/roc_auc.rb
- lib/rumale/evaluation_measure/silhouette_score.rb
- lib/rumale/feature_extraction/feature_hasher.rb
- lib/rumale/feature_extraction/hash_vectorizer.rb
- lib/rumale/kernel_approximation/nystroem.rb
- lib/rumale/kernel_approximation/rbf.rb
- lib/rumale/kernel_machine/kernel_fda.rb
- lib/rumale/kernel_machine/kernel_pca.rb
- lib/rumale/kernel_machine/kernel_ridge.rb
- lib/rumale/kernel_machine/kernel_svc.rb
- lib/rumale/linear_model/base_linear_model.rb
- lib/rumale/linear_model/base_sgd.rb
- lib/rumale/linear_model/elastic_net.rb
- lib/rumale/linear_model/lasso.rb
- lib/rumale/linear_model/linear_regression.rb
- lib/rumale/linear_model/logistic_regression.rb
- lib/rumale/linear_model/ridge.rb
- lib/rumale/linear_model/svc.rb
- lib/rumale/linear_model/svr.rb
- lib/rumale/manifold/mds.rb
- lib/rumale/manifold/tsne.rb
- lib/rumale/metric_learning/fisher_discriminant_analysis.rb
- lib/rumale/metric_learning/neighbourhood_component_analysis.rb
- lib/rumale/model_selection/cross_validation.rb
- lib/rumale/model_selection/function.rb
- lib/rumale/model_selection/grid_search_cv.rb
- lib/rumale/model_selection/k_fold.rb
- lib/rumale/model_selection/shuffle_split.rb
- lib/rumale/model_selection/stratified_k_fold.rb
- lib/rumale/model_selection/stratified_shuffle_split.rb
- lib/rumale/multiclass/one_vs_rest_classifier.rb
- lib/rumale/naive_bayes/base_naive_bayes.rb
- lib/rumale/naive_bayes/bernoulli_nb.rb
- lib/rumale/naive_bayes/complement_nb.rb
- lib/rumale/naive_bayes/gaussian_nb.rb
- lib/rumale/naive_bayes/multinomial_nb.rb
- lib/rumale/naive_bayes/negation_nb.rb
- lib/rumale/nearest_neighbors/k_neighbors_classifier.rb
- lib/rumale/nearest_neighbors/k_neighbors_regressor.rb
- lib/rumale/nearest_neighbors/vp_tree.rb
- lib/rumale/neural_network/adam.rb
- lib/rumale/neural_network/base_mlp.rb
- lib/rumale/neural_network/mlp_classifier.rb
- lib/rumale/neural_network/mlp_regressor.rb
- lib/rumale/optimizer/ada_grad.rb
- lib/rumale/optimizer/adam.rb
- lib/rumale/optimizer/nadam.rb
- lib/rumale/optimizer/rmsprop.rb
- lib/rumale/optimizer/sgd.rb
- lib/rumale/optimizer/yellow_fin.rb
- lib/rumale/pairwise_metric.rb
- lib/rumale/pipeline/feature_union.rb
- lib/rumale/pipeline/pipeline.rb
- lib/rumale/polynomial_model/base_factorization_machine.rb
- lib/rumale/polynomial_model/factorization_machine_classifier.rb
- lib/rumale/polynomial_model/factorization_machine_regressor.rb
- lib/rumale/preprocessing/bin_discretizer.rb
- lib/rumale/preprocessing/l2_normalizer.rb
- lib/rumale/preprocessing/label_binarizer.rb
- lib/rumale/preprocessing/label_encoder.rb
- lib/rumale/preprocessing/max_abs_scaler.rb
- lib/rumale/preprocessing/min_max_scaler.rb
- lib/rumale/preprocessing/one_hot_encoder.rb
- lib/rumale/preprocessing/ordinal_encoder.rb
- lib/rumale/preprocessing/polynomial_features.rb
- lib/rumale/preprocessing/standard_scaler.rb
- lib/rumale/probabilistic_output.rb
- lib/rumale/tree/base_decision_tree.rb
- lib/rumale/tree/decision_tree_classifier.rb
- lib/rumale/tree/decision_tree_regressor.rb
- lib/rumale/tree/extra_tree_classifier.rb
- lib/rumale/tree/extra_tree_regressor.rb
- lib/rumale/tree/gradient_tree_regressor.rb
- lib/rumale/tree/node.rb
- lib/rumale/utils.rb
- lib/rumale/validation.rb
- lib/rumale/values.rb
- lib/rumale/version.rb
- rumale.gemspec
homepage: https://github.com/yoshoku/rumale
licenses:
- BSD-2-Clause
metadata:
  homepage_uri: https://github.com/yoshoku/rumale
  changelog_uri: https://github.com/yoshoku/rumale/blob/master/CHANGELOG.md
  source_code_uri: https://github.com/yoshoku/rumale
  documentation_uri: https://yoshoku.github.io/rumale/doc/
  bug_tracker_uri: https://github.com/yoshoku/rumale/issues
post_install_message: 
rdoc_options: []
require_paths:
- lib
required_ruby_version: !ruby/object:Gem::Requirement
  requirements:
  - - ">="
    - !ruby/object:Gem::Version
      version: '0'
required_rubygems_version: !ruby/object:Gem::Requirement
  requirements:
  - - ">="
    - !ruby/object:Gem::Version
      version: '0'
requirements: []
rubygems_version: 3.1.2
signing_key: 
specification_version: 4
summary: Rumale is a machine learning library in Ruby. Rumale provides machine learning
  algorithms with interfaces similar to Scikit-Learn in Python.
test_files: []