#!/usr/bin/env python import sys # This script merges evaluation results for different splits # and stores the output in all.csv from merge_csv_average import main if __name__ == "__main__": main( sys.argv[1], filePattern="eval_dev_split_%s.csv", delimiter=";", skipFirstRow=False, skipNonFloatCol=frozenset([]), )
#!/usr/bin/env python import sys # This script merges evaluation results for different splits # and stores the output in all.csv from merge_csv_average import main if __name__ == "__main__": main(sys.argv[1], filePattern="ensemble_%s.csv", delimiter=',', skipFirstRow=False, skipNonFloatCol=frozenset(['Classifier', 'Mode', 'Fold']))
#!/usr/bin/env python import sys # This script merges evaluation results for different splits # and stores the output in all.csv from merge_csv_average import main if __name__ == "__main__": main( sys.argv[1], filePattern="all_%s.csv", delimiter=",", skipFirstRow=False, skipNonFloatCol=frozenset(["type", "run"]), )
#!/usr/bin/env python import sys # This script merges evaluation results for different splits # and stores the output in all.csv from merge_csv_average import main if __name__ == "__main__": main(sys.argv[1], filePattern="eval_test_split_%s.csv", delimiter=';', skipFirstRow=False, skipNonFloatCol=frozenset([]))