run.py

#!/usr/bin/env python3
"""
Copyright 2019 Marco Lattuada
Copyright 2019 Marjan Hosseini

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

     http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import argparse
import os

import sequence_data_processing


def main():

    parser = argparse.ArgumentParser(description="Perform exploration of regression techniques")
    parser.add_argument('-c', "--configuration-file", help="The configuration file for the infrastructure", required=True)
    parser.add_argument('-d', "--debug", help="Enable debug messages", default=False, action="store_true")
    parser.add_argument('-s', "--seed", help="The seed", default=0)
    parser.add_argument('-o', "--output", help="The output where all the models will be stored", default="output")
    parser.add_argument('-j', help="The number of processes to be used", default=1)
    parser.add_argument('-g', "--generate-plots", help="Generate plots", default=False, action="store_true")
    parser.add_argument('-t', "--self-check", help="Predict the input data with the generate regressor", default=False, action="store_true")
    parser.add_argument('-l', "--details", help="Print results of the single experiments", default=False, action="store_true")
    args = parser.parse_args()

    os.environ["CUDA_VISIBLE_DEVICES"] = ""

    sequence_data_processor = sequence_data_processing.SequenceDataProcessing(args.configuration_file, debug=args.debug, seed=args.seed, output=args.output, j=args.j, generate_plots=args.generate_plots, self_check=args.self_check, details=args.details)
    sequence_data_processor.process()


if __name__ == '__main__':
    main()