This project consists of two utilities to make running common sklearn experiments on pre-generated features much simpler.
classifier.py contains a
Classifier class and
load_examples function that have a simple well-documented API for training, testing, cross-validation, and running grid search on a variety of sklearn models (for details see the documentation).
run_experiment.py is a command-line utility for running a series of classifiers on datasets specified in a configuration file. For more information about the configuration file format, see the example configuration file
pythongridmust be in your
export DRMAA_LIBRARY_PATH=/local/research/linux/sge6_2u6/lib/lx24-amd64/libdrmaa.somust be present in your