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476455e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 | # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
from __future__ import absolute_import
import os
from sagemaker import AutoML
from tests.integ import DATA_DIR, AUTO_ML_DEFAULT_TIMEMOUT_MINUTES
from tests.integ.timeout import timeout
ROLE = "SageMakerRole"
DATA_DIR = os.path.join(DATA_DIR, "automl", "data")
PREFIX = "sagemaker/beta-automl-xgboost"
TRAINING_DATA = os.path.join(DATA_DIR, "iris_training.csv")
TARGET_ATTRIBUTE_NAME = "virginica"
def create_auto_ml_job_if_not_exist(sagemaker_session):
auto_ml_job_name = "python-sdk-integ-test-base-job"
try:
sagemaker_session.describe_auto_ml_job(job_name=auto_ml_job_name)
except Exception as e: # noqa: F841
auto_ml = AutoML(
role=ROLE,
target_attribute_name=TARGET_ATTRIBUTE_NAME,
sagemaker_session=sagemaker_session,
max_candidates=3,
)
inputs = sagemaker_session.upload_data(path=TRAINING_DATA, key_prefix=PREFIX + "/input")
with timeout(minutes=AUTO_ML_DEFAULT_TIMEMOUT_MINUTES):
auto_ml.fit(inputs, job_name=auto_ml_job_name, wait=True)
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