def experiment_5():
config = get_experiment_5_config()
logger = Logger(config)
logger.start()
loader = ImageDataLoader(config)
input_shape = config.input_shape
logging.info(f"input_shape:{input_shape}")
number_of_classes = len(loader.labbel_mapper.classes_name)
logging.info(f"number_of_classes:{number_of_classes}")
trainer = Trainer(config=config, loader=loader)
trainer.start(model=get_cnn(hidden_activation=config.hidden_activation,
output_activation=config.output_activation,
input_shape=input_shape, number_of_classes=number_of_classes),
run_id="cnn_model_greyscale")
logger.end()
def main():
config = get_experiment_1_config()
logger = Logger(config)
logger.start()
loader = ImageDataLoader(config)
input_shape = config.input_shape
logging.info(f"input_shape:{input_shape}")
number_of_classes = len(loader.labbel_mapper.labels)
logging.info(f"number_of_classes:{number_of_classes}")
trainer = Trainer(config=config, loader=loader, logger=logger)
trainer.start(model=get_cnn(hidden_activation=config.hidden_activation,
output_activation=config.output_activation,
input_shape=input_shape,
number_of_classes=number_of_classes))
logger.end()
res_dir = "results_colab/"
shutil.rmtree(res_dir, ignore_errors=True)
os.mkdir(res_dir)
logger = Logger(res_dir)
for entity in ["gene", "drug"]:
# Reproducibility
random.seed(1)
np.random.seed(1)
torch.manual_seed(1)
if torch.cuda.is_available():
torch.cuda.manual_seed_all(1)
logger.start("test_%s_mutation" % entity)
logger.log(
"entity\tfold\ttest_AUC\ttest_F1\ttest_precision\ttest_sensitivity\n")
search_pair = [entity, "mutation"]
dloader = Dataloader(data_dir="data/",
device=device,
search_pair=search_pair)
sampler_list = []
for fold in range(n_folds):
sampler_list.append(
Sampler(dloader.get_articles(),
dloader.get_labels(),
n_batch=n_batch,
fold=fold,
def run_interface():
auth = Authorisation()
messages = Messages()
user_id = -1
logged_in = False
listener = Logger(connection)
listener.setDaemon(True)
listener.start()
while True:
if not logged_in:
display_start_menu()
command = int(input("$ "))
if command == 1:
login = input("Enter your login: "******"Enter your login: "******"No such operation")
else:
display_menu()
command = int(input("$ "))
if command == 1:
msg = input("Write your message: ")
receiver_login = input(
"Write the login of person you want to get this message: ")
receiver = connection.hget("users:", receiver_login)
if receiver is not None:
messages.create(msg, user_id, int(receiver))
print("Message sent!")
else:
print("Receiver does not exist!")
elif command == 2:
messages.get_all(user_id)
elif command == 3:
current = connection.hmget(
"user:%s" % user_id,
['in_queue', 'checking', 'blocked', 'sent', 'delivered'])
print(
"In queue: %s\nIs checking: %s\nBlocked: %s\nSent: %s\nDelivered: %s"
% tuple(current))
elif command == 4:
login = connection.hmget("user:%s" % user_id, ["login"])[0]
auth.logout(login)
logged_in = False
user_id = -1
else:
print("No such operation\n")
