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LibSVMLoader loads (and dumps) dataset file with the libsvm file format.
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README.md

LibSVMLoader

Build Status Coverage Status Gem Version MIT License

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.

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