Esempi in Python per LDA._prepare_for_training

Esempio n. 1

File: test_lda.py Progetto: cheesama/sagemaker-python-sdk

def test_prepare_for_training_wrong_value_mini_batch_size(sagemaker_session):
    lda = LDA(base_job_name='lda', 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):
        lda._prepare_for_training(data, 0)

Esempio n. 2

def test_prepare_for_training_wrong_value_mini_batch_size(sagemaker_session):
    lda = LDA(base_job_name='lda',
              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):
        lda._prepare_for_training(data, 0)

Esempio n. 3

def test_prepare_for_training_no_mini_batch_size(sagemaker_session):
    lda = LDA(base_job_name="lda", 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):
        lda._prepare_for_training(data, None)