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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. 0.1.5 - July 04, 2017 (6.0 KB)
  2. 0.1.4 - June 16, 2017 (5.5 KB)
  3. 0.1.2 - June 15, 2017 (5.5 KB)
  4. 0.1.1 - June 15, 2017 (5.5 KB)
  5. 0.1.0 - June 14, 2017 (5.5 KB)
显示所有版本 (共 7 个)

Development 依赖 (1):

minitest >= 5.10.2, ~> 5.10

业主:

作者:

  • Soren Blond Daugaard

SHA 256 校验和:

e3fe7bc8b2715bfee6e749ee8ffac813550f90d72f67f0b8b7dfc0292b775663

下载总量 149,998

这个版本 1,583

许可:

MIT

需要的 Ruby 版本: >= 0

链接: