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this gem consist of a logistic regression class. it uses gradient descent optimisation algorithm. it uses sciruby library for scientific computation.
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 Dependencies

Development

~> 1.16
~> 5.0
~> 10.0
 Project Readme

Logisticregressiongradientdescent

Logistic Regression Gradient Descent Gem is a ruby gem to use for your basic classification problems. This gem uses Sciruby's Nmatrix library to work.

Installation

Add this line to your application's Gemfile:

gem 'logisticregressiongradientdescent'

If you don't already have Nmatrix and Sciruby , install like this:

gem install nmatrix
gem install sciruby

Sciruby is a metagem, so adding only Sciruby to your gem file will be enough to use Nmatrix:

gem 'sciruby'

And then execute:

$ bundle

Or install it yourself as:

$ gem install logisticregressiongradientdescent

Usage

To use this gem you need to create a object for it:

gem_test =  LogisticRegressionGradientDescent.new

Then you have to create Nmatrix type matrix to use with the object methods. This will be hopefully fixed to work with different data types :

data = N.new([2,6], [12,15,17,18,19,20,1,1,0,1,1,0]).transpose
x = N.new([6,3])
x[:*,1] = data.col(0)
x[:*,0] = N.ones([6,1])
y = data.col(1)

Then you can use the fit method for training. This method will take 4 inputs. First is input variables, next is output variables. This method will return you the theta values :

theta = gem_test.fit(x,y)

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/hasanunl/logisticregressiongradientdescent. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.

License

The gem is available as open source under the terms of the MIT License.

Code of Conduct

Everyone interacting in the Logisticregressiongradientdescent project’s codebases, issue trackers, chat rooms and mailing lists is expected to follow the code of conduct.