My reusable code for using many different classifiers on a dataset.
It takes some command line flags, like:
$python appClassifierBenchmark.py --file="exports/appFeatures.csv" --classifier="all" --sample="split"where,
--classifier: takes inputs of what classifier we want to run. By default it runs all and takes key values of other models to specifically only run that model.--sample: takes inputs for whether we want to run the classifiers on all dataset, or equal splits. By default it takes all.--help: provides some output for the above help, but frankly it still needs a little improvement.
Save output from console to a file as:
$python appClassifierBenchmark.py --file="exports/appFeatures.csv" > <outputfile>