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svmkit 0.7.1

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:

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Total downloads 50,873

For this version 1,627

Version Released:

License:

BSD-2-Clause

Required Ruby Version: >= 2.1

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