#!/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([]))