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svmkit 0.8.1

SVMKit is a machine learninig library in Ruby. SVMKit provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. SVMKit 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, and Non-negative Matrix Factorization. Note that the SVMKit has been deprecated and has been renamed to Rumale.

Versions:

  1. 0.8.1 - March 01, 2019 (10 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 KB)
  5. 0.7.0 - December 02, 2018 (47 KB)
Show all versions (33 total)

Runtime Dependencies (1):

  • rumale ~> 0.8
  • Development Dependencies (4):

  • bundler >= 1.16
  • coveralls ~> 0.8
  • rake ~> 12.0
  • rspec ~> 3.0
  • Owners:

    Authors:

    • yoshoku

    SHA 256 checksum:

    47b15ec074090a04ae9a758479d6250e9afd6f1dd418cae95f2240a7174f9b22

    Total downloads 13,553

    For this version 498

    Gemfile:
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    install:
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    License:

    BSD-2-Clause

    Required Ruby Version: >= 2.3

    Links: