/
main_time_results.py
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/
main_time_results.py
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import argparse
import os
import utils
from unified import fit, fit_multiprocess
from utils import timeit
parser = argparse.ArgumentParser()
parser.add_argument('--num_centroids', type=int, default=3)
parser.add_argument('--alg', type=str, choices=('KM', 'FCM'), default='KM')
parser.add_argument('--max_iter', type=int, default=100)
parser.add_argument('--data_dir_path', type=str, default='./input/')
parser.add_argument('--workers', type=int, default=1,)
FILES = ['Iris-150.txt', 'Iris-1500.txt', 'Iris-15000.txt', 'Iris-150000.txt', 'Iris-1500000.txt', 'Iris-15000000.txt']
if __name__ == '__main__':
args = parser.parse_args()
alg = {
'KM': 0,
'FCM': 1
}[args.alg]
data_lengths = []
alg_times = []
for file in FILES:
data, _ = utils.read_data(os.path.join(args.data_dir_path, file))
data_lengths.append(data.shape[0])
if args.workers == 1:
alg_args = (
args.num_centroids,
data,
alg,
args.max_iter
)
alg_times.append(timeit(fit, *alg_args))
else:
alg_args = (
args.num_centroids,
args.workers,
data,
alg,
args.max_iter
)
alg_times.append(timeit(fit_multiprocess, *alg_args))
utils.plot_time_results(data_lengths, 'Data length', alg_times)