SvmHelper

Shared helper classes for usage in context of SVM at experteer

Add this line to your application's Gemfile:

gem 'svm_helper'

And then execute:

$ bundle

Or install it yourself as:

$ gem install svm_helper

Dataflow is normally something like this:

Job --Preprocessor--> PreprocessedData --Selector--> FeatureVector

The FeatureVector can now be used for training or prediction in a (libsvm) SVM.

Be aware that a FeatureVector has two Attributes:

data: the feature array itself
label: 1 for true, 0 for false

1. Fork it
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Add some feature')
4. Push to the branch (git push origin my-new-feature)
5. Create new Pull Request