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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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installation:
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Versions:

  1. 0.8.1 March 01, 2019 (10 ko)
  2. 0.7.3 February 05, 2019 (50,5 ko)
  3. 0.7.2 January 21, 2019 (48,5 ko)
  4. 0.7.1 December 17, 2018 (47 ko)
  5. 0.7.0 December 02, 2018 (47 ko)
Voir toutes les versions (33)

Dépendances de Runtime (1):

numo-narray >= 0.9.1

Dépendances de Development (4):

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

Propriétaires:

Auteurs:

  • yoshoku

Total de contrôle SHA 256:

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Total de téléchargements 51 159

Pour cette version 1 635

Version publiée:

License:

BSD-2-Clause

Version de Ruby requise: >= 2.1

Liens: