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svmkit 0.7.1

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, Linear Regression, Ridge, Lasso, Factorization Machine, Naive Bayes, Decision Tree, AdaBoost, Random Forest, K-nearest neighbor algorithm, K-Means, DBSCAN, Principal Component Analysis, Non-negative Matrix Factorization and cross-validation.

Gemfile:
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安裝:
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版本列表:

  1. 0.8.1 March 01, 2019 (10.0 KB)
  2. 0.7.3 February 05, 2019 (50.5 KB)
  3. 0.7.2 January 21, 2019 (48.5 KB)
  4. 0.7.1 December 17, 2018 (47.0 KB)
  5. 0.7.0 December 02, 2018 (47.0 KB)
顯示所有版本(共 33)

Runtime 相依性套件 (1):

numo-narray >= 0.9.1

Development 相依性套件 (4):

bundler >= 1.16
coveralls ~> 0.8
rake ~> 12.0
rspec ~> 3.0

擁有者:

作者:

  • yoshoku

SHA 256 總和檢查碼:

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總下載次數 50,873

這個版本 1,627

版本发布:

授權:

BSD-2-Clause

Ruby 版本需求: >= 2.1

相關連結: