# Mopti ![Ruby](https://github.com/yoshoku/mopti/workflows/Ruby/badge.svg) [![Gem Version](https://badge.fury.io/rb/mopti.svg)](https://badge.fury.io/rb/mopti) [![BSD 3-Clause License](https://img.shields.io/badge/License-BSD%203--Clause-orange.svg)](https://github.com/yoshoku/mopti/blob/master/LICENSE.txt) [![Documentation](http://img.shields.io/badge/api-reference-blue.svg)](https://yoshoku.github.io/mopti/doc/) Mopti is a multivariate optimization library in Ruby. Mopti supports Nelder-Mead simplex method and Scaled Conjugate Gradient. ## Installation Add this line to your application's Gemfile: ```ruby gem 'mopti' ``` And then execute: $ bundle install Or install it yourself as: $ gem install mopti ## Documentation - [Mopti API Documentation](https://yoshoku.github.io/mopti/doc/) ## Usage Example 1. Linear Regression with Nelder-Mead simplex method ```ruby require 'numo/narray' require 'numo/gnuplot' require 'mopti' # Define objective function. obj_fnc = proc do |w, x, y| n_samples = x.shape[0] ((y - x.dot(w))**2).sum.fdiv(n_samples) end # Explanatory variables. x = Numo::DFloat[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] # Dependent variables. y = 3 * x + 2 # Extend variable for intercept. xb = Numo::DFloat.vstack([x, [1] * x.size]).transpose.dup # Optimize parameter vectors. res = Mopti::minimize(algorithm: 'Nelder-Mead', fnc: obj_fnc, x_init: Numo::DFloat.zeros(2), args: [xb, y]) # Output result. pp res a, b = res[:x].to_a Numo.gnuplot do set(terminal: 'png') set(output: 'example1.png') plot [[0, 10], [a * x[0] + b, a * x[-1] + b], w: :lines, lw: 1, t: 'parameters'], [x, y, pt: 6, ps: 2, t: 'data'] end ``` ``` $ brew install gnuplot $ gem install mopti numo-narray numo-gnuplot $ ruby example1.rb {:x=>Numo::DFloat(view)#shape=[2] [3, 2], :n_fev=>177, :n_iter=>91, :fnc=>2.290874014308807e-13} ``` ![example1](https://user-images.githubusercontent.com/5562409/74737586-79c9db00-5298-11ea-9063-90e4655f878a.png) ## Development After checking out the repo, run `bin/setup` to install dependencies. Then, run `rake spec` to run the tests. You can also run `bin/console` for an interactive prompt that will allow you to experiment. To install this gem onto your local machine, run `bundle exec rake install`. To release a new version, update the version number in `version.rb`, and then run `bundle exec rake release`, which will create a git tag for the version, push git commits and tags, and push the `.gem` file to [rubygems.org](https://rubygems.org). ## Contributing Bug reports and pull requests are welcome on GitHub at https://github.com/yoshoku/mopti. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the [code of conduct](https://github.com/yoshoku/mopti/blob/master/CODE_OF_CONDUCT.md). ## Code of Conduct Everyone interacting in the Mopti project's codebases, issue trackers, chat rooms and mailing lists is expected to follow the [code of conduct](https://github.com/yoshoku/mopti/blob/master/CODE_OF_CONDUCT.md).