LibSVMLoader loads (and dumps) dataset file with the libsvm file format.
Add this line to your application's Gemfile:
And then execute:
Or install it yourself as:
$ gem install libsvmloader
require 'libsvmloader' # for classification task samples, labels = .('foo.t') .(samples, labels, 'bar.t') # for regression task samples, target_variables = .('foo.t', label_dtype: :float64) .(samples, target_variables, 'bar.t')
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.
Bug reports and pull requests are welcome on GitHub at https://github.com/yoshoku/libsvmloader.
The gem is available as open source under the terms of the MIT License.