Active learning is a machine learning technique to iteratively train a classifier. activegit uses git to create shareable, distributable repositories of data and classifiers for active learning. activegit runs in python.
ag = activegit.ActiveGit('repopath')
ActiveGit initializing from repo at repopath
Available versions: initial
(Build up targets for features. Update classifier.)
ag.write_training_data(features, targets)
ag.write_classifier(clf)
ag.commit_version('newversion')
ag.versions
['initial', 'newversion']
ag.set_version('newversion')
pip install activegit