LibSVMLoader
LibSVMLoader loads (and dumps) dataset file with the libsvm file format.
Installation
Add this line to your application's Gemfile:
gem 'libsvmloader'
And then execute:
$ bundle
Or install it yourself as:
$ gem install libsvmloader
Usage
require 'libsvmloader'
# for classification task
samples, labels = LibSVMLoader.load_libsvm_file('foo.t')
LibSVMLoader.dump_libsvm_file(samples, labels, 'bar.t')
# for regression task
samples, target_variables = LibSVMLoader.load_libsvm_file('foo.t', label_dtype: 'float')
LibSVMLoader.dump_libsvm_file(samples, target_variables, 'bar.t')
When using with Numo::NArray:
require 'libsvmloader'
require 'numo/narray'
samples, labels = LibSVMLoader.load_libsvm_file('foo.t')
samples_na = Numo::NArray[*samples]
labels_na = Numo::NArray[*labels]
LibSVMLoader.dump_libsvm_file(samples_na.to_a, labels_na.to_a, 'bar.t')
When using with NMatrix:
require 'libsvmloader'
require 'nmatrix/nmatrix'
samples, labels = LibSVMLoader.load_libsvm_file('foo.t')
samples_nm = N[*samples]
labels_nm = N[*labels]
LibSVMLoader.dump_libsvm_file(samples_nm.to_a, labels_nm.to_a, 'bar.t')
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.
Contributing
Bug reports and pull requests are welcome on GitHub at https://github.com/yoshoku/libsvmloader.
License
The gem is available as open source under the terms of the MIT License.