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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:
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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)
  6. 0.6.2 September 17, 2018 (45 KB)
Show all versions (33 total)

Runtime Dependencies (1):

numo-narray >= 0.9.0

Development Dependencies (4):

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

Owners:

Authors:

  • yoshoku

SHA 256 checksum:

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Total downloads 51,159

For this version 1,554

Version Released:

License:

BSD-2-Clause

Required Ruby Version: >= 2.1

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