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ruby_linear_regression

v0.1.7RubyGems· Ruby

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.

The verdict
Aging — last published over a year ago — check before adopting. Check the repo for activity before adopting.
Check the repo for activity before adopting.
Live from the RubyGems registry · derived rules, not AI
How it scores
MaintenanceAging
PopularityNiche
SecurityClean
LicensePermissive
DepsZero deps
Maintenance
Last published over a year ago — check before adopting.
Popularity
316 downloads / week
Security
No known advisories for this version (OSV).
License
MIT
Dependencies
No runtime dependencies
Recent releases
  • 0.1.7over a year ago
  • 0.1.6over a year ago
  • 0.1.58 years ago
  • 0.1.48 years ago
  • 0.1.28 years ago
  • 0.1.18 years ago
  • 0.1.08 years ago
  • 0.0.28 years ago
ruby_linear_regression — 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. (Ruby / RubyGems) · Modules