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svmkit 0.7.3

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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install:
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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):

numo-narray >= 0.9.1

Development Dependencies (4):

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

Owners:

Authors:

  • yoshoku

SHA 256 checksum:

049a053ffa081d42eebd012799450500ae39ba0449b72a32707c429d4835d7c6

Total downloads 48,435

For this version 1,456

License:

BSD-2-Clause

Required Ruby Version: >= 2.1

Links: