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svmkit 0.6.2

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, Random Forest, K-nearest neighbor algorithm, K-Means, DBSCAN, Principal Component Analysis, Non-negative Matrix Factorization and cross-validation.

Gemfile:
= 複製 已複製

安裝:
=

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)
  6. 0.6.2 - September 17, 2018 (45.0 KB)
顯示所有版本(共 33)

Runtime 相依性套件 (1):

numo-narray >= 0.9.0

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 checksum:

62f22443b04db31a63c9492754fbceac1a4f8d83bfa31888d0a7e773334b1dfa

總下載次數 48,664

這個版本 1,476

License:

BSD-2-Clause

Ruby 版本需求: >= 2.1

相關連結: