svmkit-0.3.1

https://rubygems.org

svmkit

quick gemspec

.gem

.gem metadata (gemspec)

.gemspec

id: 1088556

number: 0.3.1

platform: ruby

spec_sha256: e09426b431f99ef0650d1e2f2359242510365311c63dda66b2d712e7b43f0a2f

sha256: 9ab1e3b27a5dedc73312e5da50b5b33334d17ac02c86cdfe9cd022e8d77c3e6d

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

updated_at: 2024-06-12 13:47:16 UTC

position: 17

version_data_entries_count: 56

uploaded_at: 2018-05-16 03:20:42 UTC

indexed: true

has_extensions:

extensions:

Gem size: 34.5 KB

Version Data Entries

Total: 56

Unpacked size: 170 KB

Full NameModeUIDGIDMtimeLinknameSizeSHA
.coveralls.yml1006440024 Byteseeb6787d352f62d278c0f5efaf8a4f92c601528b15d3254b41a08147fa73d4e8
.gitignore10064400158 Bytese1b43ade2d6f541d8098a906c669acbcb690750a7ec8148266fa250214faac16
.rspec1006440031 Bytes04ea314ec27821b7e7cf198c2b3f1dc643fbc27429e3d8eb5f6253c2104d51ca
.rubocop.yml10064400560 Bytes4ad3042fb93bad162a0e6402f1e549542254d2b46d8ff736e9dc8df7ddf5a051
.rubocop_todo.yml100644001.61 KB09fbe1b1b8e0e4bdf2cfe67cc434ccf3ea9bca1552aa5722a28e52856411cebb
.travis.yml10064400154 Bytesa962455f7385080292f868eaff3329022e9464e7bf29b012ae15ecb8beb05668
CODE_OF_CONDUCT.md100644003.15 KB1aa9c5f84a0dc80aa67732c321140eb5314c8afdc8cb8f5df2362f75bae299f8
Gemfile10064400162 Bytes91a7db7cfdd47ea4103097d90f6f0ce93a7fae33c84abcb045c8c633e08114ab
HISTORY.md100644002.94 KB485d4ada9afaab91df285cb0d30e68252081636cfa8756eb3be24c7aa1010936
LICENSE.txt100644001.26 KBb1061f1a1cf2813b126a745463363bee3abfce12f9bacc3823c6b84781e54a99
README.md100644004.06 KB3c0501ef0294729da2ce35835ff6f7c21a549d06ea4d2c3272cd383dc203aadd
Rakefile10064400117 Bytesdca0f4190a3b018ccfd644daa6600f4fe5d11b3330ecb4c564a2971465e5b016
bin/console10075500341 Bytes3cde6bc6d2319089ba946e19cb48279ba176b016181a16958bf7490b5c99f3fc
bin/setup10075500131 Bytese201190bc24e9f00849b3efa5fbaece2cbf069703232e50c7fa15d41c47f2ead
lib/svmkit.rb100644001.69 KBbfaab75d34ac9ed5455fedf10203d1d21880dd685fea1994a5207a6dacf0c3dc
lib/svmkit/base/base_estimator.rb10064400295 Bytesd736d4f372a8e136f31f9a8159c4fd2b11b8c1554492383075ba81511f28cc14
lib/svmkit/base/classifier.rb100644001.08 KB26da4c35cb072e869fd1cf8ea80b80f763fb32293127a5a2048617a36e9dd181
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/dataset.rb100644003.38 KB3c53ff7468a2e16a692db17b7e65c529255761df38e9be7854003e2b262482b9
lib/svmkit/ensemble/random_forest_classifier.rb100644007.85 KB4835c3ca8b222f189c55c581469a97a45b65ea05520d974f5c54828fd80b11c0
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/precision.rb100644001.63 KBc64c19b1b21e5efd52de7674f2747e6f50f4f4807e1ac7edcc7b2957bff36dfc
lib/svmkit/evaluation_measure/precision_recall.rb100644003.53 KB507c2bed003900378925ed61e5564d9959a8cc95ffc380a0df56520c1c7c34a2
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/logistic_regression.rb100644008.4 KB7a2eac8a8156dfe474c95ece506cc7b8a9d7996729db5dccbfe7acf7abb9cfa5
lib/svmkit/linear_model/svc.rb100644009.37 KBb650f1f1fdbcc80b7856818e52db9b83f9ff932a5977ece229c5600269dc29db
lib/svmkit/linear_model/svr.rb100644006.64 KB4ef090521ee1dd0a6516bbeb1fa007c3a546ab50322377df9a32f7d0712ccc45
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/pairwise_metric.rb100644004.04 KBc2645b48df49d30f5e1a5dba783fb7a38c2d5c642c7f9e38d278f6049b1b06be
lib/svmkit/polynomial_model/factorization_machine_classifier.rb1006440011.4 KB2af52447938ab368929d8b78be3c1b68e0673292e9e4a42973df89718ad4753c
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.rb1006440012.7 KB6b44c07ca508a3052f89e0afb7c8846824cbcb9e927050aef2c766b8839dd7a6
lib/svmkit/validation.rb100644002.44 KB8ce09fc80eb480504e122ddc79b75974c501b3d17cf0f24c89b606a4e551c594
lib/svmkit/version.rb10064400149 Bytes568c68ec12384cec6fbb1b8213d73883467fdaacb63f0a499a1ad208ca2497e3
svmkit.gemspec100644001.49 KB9a48c51feb88d6e7ffb489b35cba81385a7433a1148a6541b1d487621a43cdd2