vandonr-amz commented on code in PR #28837:
URL: https://github.com/apache/airflow/pull/28837#discussion_r1067380331
##########
airflow/providers/amazon/aws/operators/sagemaker.py:
##########
@@ -1049,3 +1050,53 @@ def execute(self, context: Context) -> dict | None:
self.check_interval,
)
return best
+
+
+class SageMakerCreateExperimentOperator(SageMakerBaseOperator):
+ """
+ Creates a SageMaker experiment, to be then associated to jobs etc.
+
+ .. seealso::
+ For more information on how to use this operator, take a look at the
guide:
+ :ref:`howto/operator:SageMakerCreateExperimentOperator`
+
+ :param name: name of the experiment, must be unique within the AWS account
+ :param description: description of the experiment, optional
+ :param tags: tags to attach to the experiment, optional
+ :param aws_conn_id: The AWS connection ID to use.
+
+ :returns: the ARN of the experiment created, though experiments are
referred to by name
+ """
+
+ template_fields: Sequence[str] = (
+ "name",
+ "description",
+ "tags",
+ )
+
+ def __init__(
+ self,
+ *,
+ name: str,
+ description: str | None = None,
+ tags: dict | None = None,
+ aws_conn_id: str = DEFAULT_CONN_ID,
+ **kwargs,
+ ):
+ super().__init__(config={}, aws_conn_id=aws_conn_id, **kwargs)
+ self.name = name
+ self.description = description
+ self.tags = tags or []
Review Comment:
yeah right my mistake
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