Python FactorizationMachines._prepare_for_training示例

示例#1

文件： test_fm.py 项目： cheesama/sagemaker-python-sdk

def test_prepare_for_training_wrong_value_mini_batch_size(sagemaker_session):
    fm = FactorizationMachines(base_job_name='fm', sagemaker_session=sagemaker_session, **ALL_REQ_ARGS)

    data = RecordSet('s3://{}/{}'.format(BUCKET_NAME, PREFIX), num_records=1, feature_dim=FEATURE_DIM,
                     channel='train')
    with pytest.raises(ValueError):
        fm._prepare_for_training(data, 0)

示例#2

def test_prepare_for_training_no_mini_batch_size(sagemaker_session):
    fm = FactorizationMachines(base_job_name='fm',
                               sagemaker_session=sagemaker_session,
                               **ALL_REQ_ARGS)

    data = RecordSet('s3://{}/{}'.format(BUCKET_NAME, PREFIX),
                     num_records=1,
                     feature_dim=FEATURE_DIM,
                     channel='train')
    fm._prepare_for_training(data)

示例#3

def test_prepare_for_training_wrong_type_mini_batch_size(sagemaker_session):
    fm = FactorizationMachines(base_job_name='fm',
                               sagemaker_session=sagemaker_session,
                               **ALL_REQ_ARGS)

    data = RecordSet('s3://{}/{}'.format(BUCKET_NAME, PREFIX),
                     num_records=1,
                     feature_dim=FEATURE_DIM,
                     channel='train')

    with pytest.raises((TypeError, ValueError)):
        fm._prepare_for_training(data, 'some')

示例#4

文件： test_fm.py 项目： wwolfyy/fork-AWS-sagemaker-python-sdk

def test_prepare_for_training_wrong_value_mini_batch_size(sagemaker_session):
    fm = FactorizationMachines(base_job_name="fm",
                               sagemaker_session=sagemaker_session,
                               **ALL_REQ_ARGS)

    data = RecordSet(
        "s3://{}/{}".format(BUCKET_NAME, PREFIX),
        num_records=1,
        feature_dim=FEATURE_DIM,
        channel="train",
    )
    with pytest.raises(ValueError):
        fm._prepare_for_training(data, 0)