Python get_regression_data_loaders示例

示例#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)

示例#2

文件： test_model_trainer.py 项目： 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)

示例#3

文件： test_model_trainer.py 项目： 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)

示例#4

文件： test_utils.py 项目： 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)

示例#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)