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ruby_linear_regression 0.1.0

An implementation of a linear regression machine learning algorithm in Ruby. This algorithm uses Ruby's Matrix implementation and the normal equation to train the data to the best fit. The algorithm works with one independent variable or as a multivariate linear regression with multiple variables to predict a dependent variable.

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)

Owners:

Authors:

  • Soren Blond Daugaard

SHA 256 checksum:

fbaed90adfd00f6ba83a61276d6e2499d61668ed4f81fdff3d5a9775ffa95718

Total downloads 73,009

For this version 1,222

Gemfile:
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install:
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License:

MIT

Required Ruby Version: >= 0

Links: