Python get_regression_data_loaders 예제들

예제 #1

def test_model_trainer_regression():
    model = CnnGenerator(1, (28, 28, 3)).generate().produce_model()
    train_data, test_data = get_regression_data_loaders()
    ModelTrainer(model,
                 train_data=train_data,
                 test_data=test_data,
                 metric=MSE,
                 loss_function=regression_loss,
                 verbose=False).train_model(max_iter_num=3)

예제 #2

파일: test_model_trainer.py 프로젝트: Saiuz/autokeras

def test_model_trainer_regression():
    model = CnnGenerator(1, (28, 28, 3)).generate().produce_model()
    train_data, test_data = get_regression_data_loaders()
    ModelTrainer(model,
                 train_data=train_data,
                 test_data=test_data,
                 metric=MSE,
                 loss_function=regression_loss,
                 verbose=False,
                 path=TEST_TEMP_DIR).train_model(max_iter_num=3)
    clean_dir(TEST_TEMP_DIR)

예제 #3

파일: test_model_trainer.py 프로젝트: zwcdp/autokeras

def test_model_trainer_regression():
    model = CnnGenerator(1, (28, 28, 3)).generate().produce_model()
    train_data, test_data = get_regression_data_loaders()
    ModelTrainer(model,
                 train_data=train_data,
                 test_data=test_data,
                 metric=MSE,
                 loss_function=Backend.regression_loss,
                 verbose=False,
                 path=TEST_TEMP_DIR).train_model(max_iter_num=3)
    clean_dir(TEST_TEMP_DIR)

예제 #4

파일: test_utils.py 프로젝트: karolmajek/autokeras

def test_model_trainer_regression():
    model = CnnGenerator(1, (28, 28, 3)).generate().produce_model()
    train_data, test_data = get_regression_data_loaders()
    ModelTrainer(model, train_data, test_data, MSE, regression_loss, False).train_model(max_iter_num=3)

예제 #5

def test_model_trainer_regression():
    model = CnnGenerator(1, (28, 28, 3)).generate().produce_model()
    train_data, test_data = get_regression_data_loaders()
    ModelTrainer(model, train_data, test_data, MSE, regression_loss,
                 False).train_model(max_iter_num=3)