This package provides a number of utilities to make it simpler to run common scikit-learn experiments with pre-generated features.
run_experiment is a command-line utility for running a series of
learners on datasets specified in a configuration file. For more
information about using run_experiment,
If you just want to avoid writing a lot of boilerplate learning code,
you can use our simple well-documented Python API. The main way you'll
want to use the API is through the
load_examples function and the
Learner class. For more details on how to simply train, test,
cross-validate, and run grid search on a variety of scikit-learn models
see the documentation.