Uranai

A library for solving Supervised Learning (regression & classification) problems.

Installation

Add this line to your application's Gemfile:

gem 'uranai'

And then execute:

$ bundle

Or install it yourself as:

$ gem install uranai

Linear Regression Example:

# Instantiates a linear regression instance.
linear_regression = Uranai::LinearRegression.new("data.csv")

# Computes cost (using cost function) with `default_theta`.
initial_cost = linear_regression.compute_cost

# Computes cost (using cost function) with custom theta.
custom_cost = linear_regression.compute_cost(theta: [0.5, 0.5])

# Finds fitting parameters.
fitting_params = linear_regression.fitting_params

# Predicts the result from given data.
result = fitting_params.predict([3.5])

Development

After checking out the repo, run bin/setup to install dependencies. Then, run rake test 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.

Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/teerawat1992/uranai.

TODO

  • [x] Linear Regression
  • [ ] Logistic Regression
  • [ ] Neural Networks
  • [ ] Support Vector Machines (SVMs)