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.

Required Ruby Version

>= 2.3

Authors

yoshoku

Versions

  1. 0.8.1

    1. source

      1. 0.8.1 source March 01, 2019 (10 KB)
  2. 0.7.3

    1. source

      1. 0.7.3 source February 05, 2019 (50.5 KB)
  3. 0.7.2

    1. source

      1. 0.7.2 source January 21, 2019 (48.5 KB)
  4. 0.7.1

    1. source

      1. 0.7.1 source December 17, 2018 (47 KB)
  5. 0.7.0

    1. source

      1. 0.7.0 source December 02, 2018 (47 KB)
Show all versions (33 total)

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