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, go here.
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.
2 months ago passed
.. image:: https://readthedocs.org/projects/scikit-learn-laboratory/badge/?version=latest :target: https://scikit-learn-laboratory.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status
<a href='https://scikit-learn-laboratory.readthedocs.io/en/latest/?badge=latest'> <img src='https://readthedocs.org/projects/scikit-learn-laboratory/badge/?version=latest' alt='Documentation Status' /> </a>
Project has no tags.
Project Privacy Level