Python TPC.run 예제들

예제 #1

파일: temp_weight_sharing.py 프로젝트: ruiatelsevier/eICU-LoS-prediction

from eICU_preprocessing.split_train_test import create_folder
from models.run_tpc import TPC
from models.initialise_arguments import initialise_tpc_arguments

if __name__ == '__main__':

    c = initialise_tpc_arguments()
    c['mode'] = 'test'
    c['exp_name'] = 'TempWeightShare'
    c['model_type'] = 'temp_only'
    c['share_weights'] = True
    c['temp_kernels'] = [32] * c['n_layers']

    log_folder_path = create_folder('models/experiments/final', c.exp_name)
    temp_weight_share = TPC(
        config=c,
        n_epochs=c.n_epochs,
        name=c.exp_name,
        base_dir=log_folder_path,
        explogger_kwargs={'folder_format': '%Y-%m-%d_%H%M%S{run_number}'})
    temp_weight_share.run()

예제 #2

파일: temp_only.py 프로젝트: ruiatelsevier/eICU-LoS-prediction

from eICU_preprocessing.split_train_test import create_folder
from models.run_tpc import TPC
from models.initialise_arguments import initialise_tpc_arguments


if __name__=='__main__':

    c = initialise_tpc_arguments()
    c['mode'] = 'test'
    c['exp_name'] = 'TempOnly'
    c['model_type'] = 'temp_only'

    log_folder_path = create_folder('models/experiments/final', c.exp_name)
    temp_only = TPC(config=c,
                    n_epochs=c.n_epochs,
                    name=c.exp_name,
                    base_dir=log_folder_path,
                    explogger_kwargs={'folder_format': '%Y-%m-%d_%H%M%S{run_number}'})
    temp_only.run()

예제 #3

파일: tpc25.py 프로젝트: ruiatelsevier/eICU-LoS-prediction

from eICU_preprocessing.split_train_test import create_folder
from models.run_tpc import TPC
from models.initialise_arguments import initialise_tpc_arguments

if __name__ == '__main__':

    c = initialise_tpc_arguments()
    c['mode'] = 'test'
    c['exp_name'] = 'TPC25'
    c['model_type'] = 'tpc'
    c['percentage_data'] = 25
    c['n_epochs'] = 15

    log_folder_path = create_folder('models/experiments/final', c.exp_name)
    tpc = TPC(
        config=c,
        n_epochs=c.n_epochs,
        name=c.exp_name,
        base_dir=log_folder_path,
        explogger_kwargs={'folder_format': '%Y-%m-%d_%H%M%S{run_number}'})
    tpc.run()

예제 #4

from eICU_preprocessing.split_train_test import create_folder
from models.run_tpc import TPC
from models.initialise_arguments import initialise_tpc_arguments
from models.final_experiment_scripts.best_hyperparameters import best_tpc

if __name__ == '__main__':

    c = initialise_tpc_arguments()
    c['exp_name'] = 'PointwiseOnly'
    c['dataset'] = 'eICU'
    c = best_tpc(c)
    c['model_type'] = 'pointwise_only'

    log_folder_path = create_folder('models/experiments/final/eICU/LoS',
                                    c.exp_name)

    pointwise_only = TPC(
        config=c,
        n_epochs=c.n_epochs,
        name=c.exp_name,
        base_dir=log_folder_path,
        explogger_kwargs={'folder_format': '%Y-%m-%d_%H%M%S{run_number}'})
    pointwise_only.run()