svmkit-0.5.2

https://rubygems.org

svmkit

quick gemspec

.gem

.gem metadata (gemspec)

.gemspec

id: 1088563

number: 0.5.2

platform: ruby

spec_sha256: 7b5a50e5f8b2b3e940528ae37e8ea14726f9dc358144a46f5ffce41e66025d3e

sha256: d0c355b731838da98f83ebf6daf54e4a5e4e63f96e62028ec9891328a4e605f8

created_at: 2024-05-13 08:30:31 UTC

updated_at: 2024-06-12 13:47:20 UTC

position: 10

version_data_entries_count: 72

uploaded_at: 2018-06-23 10:18:12 UTC

indexed: true

has_extensions:

extensions:

Gem size: 43 KB

Version Data Entries

Total: 72

Unpacked size: 241 KB

Full NameModeUIDGIDMtimeLinknameSizeSHA
.coveralls.yml1006440024 Byteseeb6787d352f62d278c0f5efaf8a4f92c601528b15d3254b41a08147fa73d4e8
.gitignore10064400230 Bytes3d0cbe31a845ba39fb072998ce9c408fa01ff227f52c3855254f49d169d86e0b
.rspec1006440031 Bytes04ea314ec27821b7e7cf198c2b3f1dc643fbc27429e3d8eb5f6253c2104d51ca
.rubocop.yml10064400560 Bytes4ad3042fb93bad162a0e6402f1e549542254d2b46d8ff736e9dc8df7ddf5a051
.rubocop_todo.yml100644001.59 KB8f1c5c31cdaa5a58050954305513c3f8f2560fc645b4c678c4f3b7fa44fb1e6b
.travis.yml10064400154 Bytesa962455f7385080292f868eaff3329022e9464e7bf29b012ae15ecb8beb05668
CODE_OF_CONDUCT.md100644003.15 KB1aa9c5f84a0dc80aa67732c321140eb5314c8afdc8cb8f5df2362f75bae299f8
Gemfile10064400162 Bytes58f2a3f81c943938c2ac5be36b93346b443328e2751aa5f51c9dcfed1c13d647
HISTORY.md100644005.15 KBf025de531150118bc68db84c57c6c6baaf9488564792c66ff460f3f84b9bd320
LICENSE.txt100644001.26 KBb1061f1a1cf2813b126a745463363bee3abfce12f9bacc3823c6b84781e54a99
README.md100644005.27 KBf6b78b61414b5e0743f30bbaa4440d3bc19f401e7a1726dd4eb5411fb13ca46c
Rakefile10064400114 Bytes9b7e8e6863ec3ddcbaa90ad9f719db18e11d9ff1782d33e4340f39ebb7d02da1
bin/console10075500341 Bytes3cde6bc6d2319089ba946e19cb48279ba176b016181a16958bf7490b5c99f3fc
bin/setup10075500131 Bytese201190bc24e9f00849b3efa5fbaece2cbf069703232e50c7fa15d41c47f2ead
lib/svmkit.rb100644002.34 KB2375efd31954b8c06a344327de4aaf8ee0abf286ca6d72cee5d11fb277731327
lib/svmkit/base/base_estimator.rb10064400295 Bytesd736d4f372a8e136f31f9a8159c4fd2b11b8c1554492383075ba81511f28cc14
lib/svmkit/base/classifier.rb100644001.08 KB26da4c35cb072e869fd1cf8ea80b80f763fb32293127a5a2048617a36e9dd181
lib/svmkit/base/cluster_analyzer.rb10064400970 Bytesc68345ec856251dbea51b05ced7fc9f1d753299c29739cf2f1b501ff188518b0
lib/svmkit/base/evaluator.rb10064400319 Bytes149e41dc556b51da365b5c5ae1ddb96a4968bd3312b5ca0242d4699138738be8
lib/svmkit/base/regressor.rb100644001.12 KBf769964d521364cce71640791b877084e84291569007b6cad70ee662634f40ea
lib/svmkit/base/splitter.rb10064400407 Bytes5cc1974c521318398eafc01939b06d74814a854c02f8eaacfa787f1cea4c0230
lib/svmkit/base/transformer.rb10064400509 Bytesd6429d1124534750d2ac5fe9ffd53afd4777b3ca6cbce832230365b96fdd283f
lib/svmkit/clustering/dbscan.rb100644004.09 KB2c50a2cc4937ee339c96eafd71b7ddaee5dfc80182e70f9f4a7d40c3df9d2186
lib/svmkit/clustering/k_means.rb100644005.2 KBca6fe07ee02b34d58e5421d820ac8243fbefad2d6feabb9e2dfcc33bcba0c1f4
lib/svmkit/dataset.rb100644003.82 KBd1988d83c9588e81a1dd9df3cf5716d5631ee34effbb60a8a0f84c3d3e870bd5
lib/svmkit/ensemble/random_forest_classifier.rb100644007.88 KB3d11d2b5e50e176f44400dabe3e30f7eb7f0e085192b39a3e434040657e45525
lib/svmkit/ensemble/random_forest_regressor.rb100644006.14 KB3ee1004d59138fb4dea4d943ba7a1c0009ed3be39a04fbce88289ffb291c8e99
lib/svmkit/evaluation_measure/accuracy.rb10064400984 Bytes701195526f8f56edbda2830fe26efef363e08970cfb5bb21c6f7aad976208d44
lib/svmkit/evaluation_measure/f_score.rb100644001.6 KB3dff1e4dec9b27ce0757c7cf6ada287e55bec786863d63cf4cf9f7349b305a66
lib/svmkit/evaluation_measure/log_loss.rb100644001.91 KBfed307b845ed7a1384515f79c465d021e3e8aeed5d7b52145d951aae3c8f3080
lib/svmkit/evaluation_measure/mean_absolute_error.rb100644001018 Bytes4c9551c9ea56f9db798b275b2130d5e124ab5297ab0b92daf6f600a30dcdeae9
lib/svmkit/evaluation_measure/mean_squared_error.rb100644001013 Bytes9e3a02a1da8460da1c776e08c9e82ca468596dad5a842fb55abac352c054eaf0
lib/svmkit/evaluation_measure/normalized_mutual_information.rb100644002.56 KB4a2d2deca4b021401badefee55ebd0eed4e8b0d437beb143bbb5915ca9b7f9cc
lib/svmkit/evaluation_measure/precision.rb100644001.63 KBc64c19b1b21e5efd52de7674f2747e6f50f4f4807e1ac7edcc7b2957bff36dfc
lib/svmkit/evaluation_measure/precision_recall.rb100644003.53 KB507c2bed003900378925ed61e5564d9959a8cc95ffc380a0df56520c1c7c34a2
lib/svmkit/evaluation_measure/purity.rb100644001.31 KBb2e1354254031554539257b69e819f9e80f5af8568d4853635969077913c4c25
lib/svmkit/evaluation_measure/r2_score.rb100644001.57 KBad6c27c892f3c88868d646f5f8b8c907fd7287c927ad6e3c61dcff9d21247e52
lib/svmkit/evaluation_measure/recall.rb100644001.6 KBf491fe251e287db198f72f15bdd576d3c891c322673969e9933d09642d1cd8d3
lib/svmkit/kernel_approximation/rbf.rb100644005.07 KBd353000b02fa4399cea5ef6ea23ef1297c03e411e7e1a438bebfcabb6aaa7045
lib/svmkit/kernel_machine/kernel_svc.rb100644007.79 KB9cefc50c58cf1ac8a0f3aa215c1e53a442a6ceff834d2274f627f8749f98bbb6
lib/svmkit/linear_model/lasso.rb100644006.49 KB9152af7f5aa14aef4a8e0e839527d2214446bf062d377b886a86b582faf06acc
lib/svmkit/linear_model/linear_regression.rb100644005.53 KB762a756fa6a0b167fffda2d73d15b895ecb86fa973e5210b4b2cf30c489caf7a
lib/svmkit/linear_model/logistic_regression.rb100644008.07 KBa2b0a10f90501bf6d700d7a8c36de157f26eff462c7c44c70061c1610333d52b
lib/svmkit/linear_model/ridge.rb100644005.67 KBc8dc1bf82f9280afc598625f2df7ad3f3a349cd8da9299816a3063b770585b8b
lib/svmkit/linear_model/svc.rb100644009.14 KB84b56c2a9041b7ca278d0897089dae83203d5613131ef5423533fd2ee8500b81
lib/svmkit/linear_model/svr.rb100644006.37 KB51c735fe496a72b4452be7ced495494534caae983bfe7c25deadb0f5aca60d03
lib/svmkit/model_selection/cross_validation.rb100644005.48 KBa45686ae58a80dfd0ac54070d4e8c0e7d925f4768a6d886e4f5e3e242179a3ae
lib/svmkit/model_selection/k_fold.rb100644002.98 KB7f33caf7f1628347a891e370f111d45bb8d5789e4ead7064b89d75382f686e10
lib/svmkit/model_selection/stratified_k_fold.rb100644003.88 KB1175682889e1f42b4e347780fb9a6095a639d8838547a972e7a10a4c7408c498
lib/svmkit/multiclass/one_vs_rest_classifier.rb100644003.81 KBebebf8724642c60c8f6f21e7d23f3490db05a939731162c0e3de20ba0cd108de
lib/svmkit/naive_bayes/naive_bayes.rb1006440012.4 KB7afe4a74da467dadc17dfa9f579c1a9ab7084896a44bc3fb7c150d590499181a
lib/svmkit/nearest_neighbors/k_neighbors_classifier.rb100644004.13 KB5a06b90d8c526e090d0c049c44f6bfbff372d5f4d3733a2c7c4c064dc97cd325
lib/svmkit/nearest_neighbors/k_neighbors_regressor.rb100644003.36 KB014fbe5de6557c7682f5d7f38bb030f97eae5331657c47c12f6d6e9f2588de97
lib/svmkit/optimizer/nadam.rb100644003.52 KB3be3fffec826b0b041a6eb9abf1dc9f28298aa4a9b92b590537213a3276e24ae
lib/svmkit/optimizer/rmsprop.rb100644002.57 KB8654cfbb4de609b45d85358abf3960ef0ea8275708784cf85038c6bf209c58f7
lib/svmkit/optimizer/sgd.rb100644002.16 KBe601035f4ea8ea7914c329a1e0c6a1991668c76f254d089631aa0cbcae39d2e2
lib/svmkit/optimizer/yellow_fin.rb100644005.62 KBb12de06871afca378f3fc65a33858c7b97622ebf83dfdfda6cd62237cbc06f1e
lib/svmkit/pairwise_metric.rb100644004.04 KBc2645b48df49d30f5e1a5dba783fb7a38c2d5c642c7f9e38d278f6049b1b06be
lib/svmkit/polynomial_model/factorization_machine_classifier.rb1006440010.5 KB43e7386cd362654236457df5e2106e4a70b32a33024ba48b6f1fbfd77c439a4e
lib/svmkit/polynomial_model/factorization_machine_regressor.rb100644007.85 KB5d6c700f3afb0413164ac1d72b20388d165bc935bc090a4cd46786425877c699
lib/svmkit/preprocessing/l2_normalizer.rb100644001.64 KB5eb98390f77e9dcb0e8d0fcde14a00071ce11d02e9804e6d349f8164158cef24
lib/svmkit/preprocessing/label_encoder.rb100644002.73 KB01fffdeda0c698310ff905e8991c90b27c6f8ec6be4dc19ed48f3f9c98720c86
lib/svmkit/preprocessing/min_max_scaler.rb100644003.16 KB2cc2903e8f7c3a20d9b4072f1dec8f53bd70c143c35b4cd1f6b726020d7ee988
lib/svmkit/preprocessing/one_hot_encoder.rb100644003.16 KB83885ae0068a2069ae6e68d91a92e2894c54d3e25628591bcda3c396ae1dec04
lib/svmkit/preprocessing/standard_scaler.rb100644002.76 KBf2b94b1b04774106db14e512b01a50d9d821b0df9b1e06c32744c9280428fa08
lib/svmkit/probabilistic_output.rb100644004.61 KB5593107882cd10951aca2a3655065ae865bfd3f507d077054ca90d88f2e87482
lib/svmkit/tree/decision_tree_classifier.rb1006440010.5 KBdb94d48c42017a1575251551f7947a5acb9b20031b91eb964ee30120a22979dc
lib/svmkit/tree/decision_tree_regressor.rb100644009.17 KBe3e2e54abf0144e2a90a4a82c0a6dcba0ba091c7bda98f1f631656e078b342bc
lib/svmkit/tree/node.rb100644002.3 KBfd05f40ac99bf0a0666bf9269d2cf7b9d10c4076c8051ff43e06ae2a66fbd462
lib/svmkit/validation.rb100644002.44 KB8ce09fc80eb480504e122ddc79b75974c501b3d17cf0f24c89b606a4e551c594
lib/svmkit/version.rb10064400149 Bytesb319f0c3a04143cbf83386fa7825b6dd02c20d7c6ab1fd8359f8e38c9f027572
svmkit.gemspec100644001.54 KB13bf6d86de70d60d14e0f172ae9ee1da9f7e66fe1a68a0d852a447ebc6d77584