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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/).

Versions:

  1. 0.1.5 - July 04, 2017 (6 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)
Show all versions (7 total)

Development Dependencies (1):

  • minitest >= 5.10.2, ~> 5.10
  • Owners:

    Authors:

    • Soren Blond Daugaard

    SHA 256 checksum:

    e3fe7bc8b2715bfee6e749ee8ffac813550f90d72f67f0b8b7dfc0292b775663

    Total downloads 84,751

    For this version 1,260

    Gemfile:
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    install:
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    License:

    MIT

    Required Ruby Version: >= 0

    Links: