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LibSVMLoader is a class that loads (and dumps) dataset file with the libsvm file format. The feature vectors and labels of dataset are represented by Ruby Array.
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 Dependencies
 Project Readme

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')

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.