yangaws commented on a change in pull request #4091: [AIRFLOW-2524] Update SageMaker hook, operator and sensor for training, tuning and transform URL: https://github.com/apache/incubator-airflow/pull/4091#discussion_r229910000
########## File path: airflow/contrib/operators/sagemaker_tuning_operator.py ########## @@ -0,0 +1,97 @@ +# -*- coding: utf-8 -*- +# +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License 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 airflow.contrib.hooks.aws_hook import AwsHook +from airflow.contrib.operators.sagemaker_base_operator import SageMakerBaseOperator +from airflow.utils.decorators import apply_defaults +from airflow.exceptions import AirflowException + + +class SageMakerTuningOperator(SageMakerBaseOperator): + """ + Initiate a SageMaker hyper-parameter tuning job. + + This operator returns The ARN of the tuning job created in Amazon SageMaker. + + :param config: The configuration necessary to start a tuning job (templated) + :type config: dict + :param aws_conn_id: The AWS connection ID to use. + :type aws_conn_id: str + :param wait_for_completion: if the operator should block until tuning job finishes + :type wait_for_completion: bool + :param check_interval: if wait is set to be true, this is the time interval + in seconds which the operator will check the status of the tuning job + :type check_interval: int + :param max_ingestion_time: if wait is set to be true, the operator will fail + if the tuning job hasn't finish within the max_ingestion_time in seconds + (Caution: be careful to set this parameters because tuning can take very long) + :type max_ingestion_time: int + """ + + integer_fields = [ + ['HyperParameterTuningJobConfig', 'ResourceLimits', 'MaxNumberOfTrainingJobs'], + ['HyperParameterTuningJobConfig', 'ResourceLimits', 'MaxParallelTrainingJobs'], + ['TrainingJobDefinition', 'ResourceConfig', 'InstanceCount'], + ['TrainingJobDefinition', 'ResourceConfig', 'VolumeSizeInGB'], + ['TrainingJobDefinition', 'StoppingCondition', 'MaxRuntimeInSeconds'] + ] + + @apply_defaults + def __init__(self, + config, + wait_for_completion=True, + check_interval=30, + max_ingestion_time=None, + *args, **kwargs): + super(SageMakerTuningOperator, self).__init__(config=config, + *args, **kwargs) + self.config = config + self.wait_for_completion = wait_for_completion + self.check_interval = check_interval + self.max_ingestion_time = max_ingestion_time + + def expand_role(self): + if 'TrainingJobDefinition' in self.config: + config = self.config['TrainingJobDefinition'] + if 'RoleArn' in config: + hook = AwsHook() Review comment: Updated. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
