An implementation of a linear regression machine learning algorithm implemented in Ruby. The library supports simple problems with one independent variable used to predict a dependent variable as well as multivariate problems with multiple independent variables to predict a dependent variable. You can train your algorithms using the normal equation or gradient descent. The library is implemented in pure ruby using Ruby's Matrix implementation.

Required Ruby Version

>= 0

Authors

Soren Blond Daugaard

Versions

  1. 0.1.7

    1. source

      1. 0.1.7 source December 09, 2024 (6 KB)
  2. 0.1.6

    1. source

      1. 0.1.6 source December 09, 2024 (6 KB)
  3. 0.1.5

    1. source

      1. 0.1.5 source July 04, 2017 (6 KB)
  4. 0.1.4

    1. source

      1. 0.1.4 source June 16, 2017 (5.5 KB)
  5. 0.1.2

    1. source

      1. 0.1.2 source June 15, 2017 (5.5 KB)
Show all versions (9 total)

Pushed by

daugaard

SHA 256 checksum

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