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ruby_linear_regression 0.1.1

An implementation of a linear regression machine learning algorithm implemented in Ruby. Features: - Supports simple problems with one independent variable to predict a dependent variable and multivariate problems with multiple independent variables to predict a dependent variable. - Supports training using the normal equation - Supports training using gradient descent - The library is implemented in pure ruby using Ruby's Matrix implementation. An example of how to use the library can be found in the blog post: [Implementing linear regressing using Ruby](http://www.practicalai.io/implementing-linear-regression-using-ruby/).

Gemfile:
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安装:
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版本列表:

  1. 0.1.7 December 09, 2024 (6.0 KB)
  2. 0.1.6 December 09, 2024 (6.0 KB)
  3. 0.1.5 July 04, 2017 (6.0 KB)
  4. 0.1.4 June 16, 2017 (5.5 KB)
  5. 0.1.2 June 15, 2017 (5.5 KB)
  6. 0.1.1 June 15, 2017 (5.5 KB)
显示所有版本 (共 9 个)

Development 依赖 (1):

minitest >= 5.10.2, ~> 5.10

所有者:

作者:

  • Soren Blond Daugaard

SHA 256 校验和:

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下载总量 230,818

这个版本 1,706

版本发布:

许可:

MIT

需要的 Ruby 版本: >= 0

链接: