A Ruby wrapper for the BigML REST API, provides access to sources, datasets, models, and predictions. You can create, retrieve, update and delete
require 'rubygems'
require 'big_ml'
BigML.configure do |c|
c.username = 'foo'
c.api_key = 'bar'
c.dev_mode = true
end
# easy creation of sources
file_path = "fixtures/iris.csv"
source = BigML::Source.create(file_path)
# Are you looking for old dataset?
all_datasets = BigML::Dataset.all
# or just want to create one?
dataset = source.to_dataset
# find a concrete one
model = BigML::Model.find("4fe8868a035d07682f002891")
# create you predictions using parameters...
prediction = BigML::Prediction.create(model.resource, { :input_data => { "000001" => 3 }})
prediction.destroy
# you can destroy everything!
BigML::Model.delete("4fe8868a035d07682f002891")
Add this line to your application's Gemfile:
source 'https://rubygems.org'
gem 'big_ml'
And then install the new dependencies with:
$ bundle install
Install the gem with rubygem in your system:
$ gem install big_ml
- httparty
This library has been tested on the following ruby interpreters:
- 1.9.3
- 2.1.0
Download and run the test suit:
$ git clone [email protected]:vigosan/big_ml.git
$ cd big_ml
$ bundle install
$ rspec spec
- Fork it
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Added some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create new Pull Request