def main():
os.environ['CUDA_VISIBLE_DEVICES'] = '-1' # This line disables GPU
# Quick logging setup. Proper logging (to file) is setup later for each experiment
logging.basicConfig(format="%(asctime)s [%(levelname)s] %(message)s",
level=logging.INFO)
filename = get_filename_from_args()
experiments = utility.get_experiments(filename)
for exp_param_set in experiments:
logging.info(
'--------------- Running experiment {} --------------- \n'.format(
exp_param_set['exp_id']))
augment_exp_params(exp_param_set)
exp_param_set['results_dir'] = 'output' # Set base results dir
utility.initialize(exp_param_set)
run_experiment(exp_param_set)
logging.info(
'--------------- Finished running experiment {} --------------- \n'
.format(exp_param_set['exp_id']))
logging.info(
'================= Finished running all experiments ================= \n'
)
def main():
utility.initialize(params)
# ---------------------------------------------------
# Dataset preparation
# Extract windows from time series and prepare a dataset (and save it)
# X_all, y_all = prepare_and_save_dataset(params)
# Convert above prepared dataset to catch_22 features (and save it)
X_all, y_all = utility.load_prepared_dataset(params)
convert_to_catch22_and_save_dataset(X_all, y_all,
params['num_samples_in_pool'])
def main():
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
con = sock.connect_ex(('127.0.0.1', 5000))
if con is not 0:
if FileManager().is_file_exists("./data/fontman.db"):
threading.Thread(target=run_tasks).start()
run_flask_app()
else:
initialize()
threading.Thread(target=run_tasks).start()
run_flask_app()
else:
print("Port is in use.")
def main():
utility.initialize(params)
# ---------------------------------------------------
# Initial analysis (visualization)
series_1_u = visualize_series(params['data_file'], [1], "Undamaged (s#1)")
print(series_1_u.head())
series_3_d = visualize_series(params['data_file'], [3], "Damaged (s#3)")
visualize_undersampling(series_1_u, "Undamaged (s#1)")
visualize_truncation(series_1_u, "Undamaged (s#1)")
# cut_series = full_series.iloc[0:len(full_series) // 16]
# plot_acf(cut_series, lags=np.arange(-500, 500))
utility.save_all_figures(params['results_dir'])
import sys
import utility as u
from common import defaults
reload(sys)
sys.setdefaultencoding('utf-8')
sys.path.append(u.join_path(u.dir_name(__file__), '../bin'))
u.initialize(u.dir_name(__file__))
u.init_env(defaults.defaults)