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 example.cfg
.
pythongrid
must be in yourPYTHONPATH
export DRMAA_LIBRARY_PATH=/local/research/linux/sge6_2u6/lib/lx24-amd64/libdrmaa.so
must be present in your.bashrc