blob: 419178633059d72532ea2b8c56b59bfc3620c570 [file] [log] [blame]
:py:mod:`airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint`
==============================================================================
.. py:module:: airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint
Module Contents
---------------
Functions
~~~~~~~~~
.. autoapisummary::
airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint.call_endpoint
airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint.cleanup
Attributes
~~~~~~~~~~
.. autoapisummary::
airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint.PROJECT_NAME
airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint.TIMESTAMP
airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint.S3_BUCKET
airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint.ROLE_ARN
airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint.INPUT_DATA_S3_KEY
airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint.TRAINING_OUTPUT_S3_KEY
airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint.MODEL_NAME
airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint.ENDPOINT_NAME
airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint.ENDPOINT_CONFIG_JOB_NAME
airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint.TRAINING_JOB_NAME
airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint.TRAIN_DATA
airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint.SAMPLE_TEST_DATA
airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint.KNN_IMAGE_URI
airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint.TRAINING_CONFIG
airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint.MODEL_CONFIG
airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint.ENDPOINT_CONFIG_CONFIG
airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint.DEPLOY_ENDPOINT_CONFIG
airflow.providers.amazon.aws.example_dags.example_sagemaker_endpoint.upload_data
.. py:data:: PROJECT_NAME
:annotation: = iris
.. py:data:: TIMESTAMP
:annotation: = {{ ts_nodash }}
.. py:data:: S3_BUCKET
.. py:data:: ROLE_ARN
.. py:data:: INPUT_DATA_S3_KEY
.. py:data:: TRAINING_OUTPUT_S3_KEY
.. py:data:: MODEL_NAME
.. py:data:: ENDPOINT_NAME
.. py:data:: ENDPOINT_CONFIG_JOB_NAME
.. py:data:: TRAINING_JOB_NAME
.. py:data:: TRAIN_DATA
:annotation: = Multiline-String
.. raw:: html
<details><summary>Show Value</summary>
.. code-block:: text
:linenos:
0,4.9,2.5,4.5,1.7
1,7.0,3.2,4.7,1.4
0,7.3,2.9,6.3,1.8
2,5.1,3.5,1.4,0.2
.. raw:: html
</details>
.. py:data:: SAMPLE_TEST_DATA
:annotation: = 6.4,3.2,4.5,1.5
.. py:data:: KNN_IMAGE_URI
:annotation: = 174872318107.dkr.ecr.us-west-2.amazonaws.com/knn
.. py:data:: TRAINING_CONFIG
.. py:data:: MODEL_CONFIG
.. py:data:: ENDPOINT_CONFIG_CONFIG
.. py:data:: DEPLOY_ENDPOINT_CONFIG
.. py:function:: call_endpoint()
.. py:function:: cleanup()
.. py:data:: upload_data