[GitHub] [airflow] mik-laj commented on issue #8207: Create guide for Machine Learning Engine operators
mik-laj commented on issue #8207: URL: https://github.com/apache/airflow/issues/8207#issuecomment-644368702 @vuppalli I've assigned you to this ticket. If you have questions, go ahead and ask. I invite you to read the contribution guide. https://github.com/apache/airflow/blob/master/CONTRIBUTING.rst This is an automated message from the Apache Git Service. To respond to the message, please log on to 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
[GitHub] [airflow] mik-laj commented on issue #8207: Create guide for Machine Learning Engine operators
mik-laj commented on issue #8207: URL: https://github.com/apache/airflow/issues/8207#issuecomment-625723473 @U-Ozdemir We try to use a logical clock instead of a real clock in the community. The order of operations is more important than the time the task was completed. Some tasks need to be completed earlier because other users may need to benefit more from some change, but there are no specific time limits set by the community rule. If you want to share changes with the community then you must create PR. https://help.github.com/en/github/collaborating-with-issues-and-pull-requests/creating-a-pull-request-from-a-fork You should also create a commit beforehand. It describes your change https://help.github.com/en/github/committing-changes-to-your-project This is an automated message from the Apache Git Service. To respond to the message, please log on to 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
[GitHub] [airflow] mik-laj commented on issue #8207: Create guide for Machine Learning Engine operators
mik-laj commented on issue #8207: URL: https://github.com/apache/airflow/issues/8207#issuecomment-617506853 @ansh08lehri Hello, I would like an example that describes how to use the ML Engine operators. We have similar guides for other services, but we don't have a guide for MLEngine. Other guides for GCP: https://airflow.readthedocs.io/en/latest/howto/operator/gcp/index.html My favourite: https://airflow.readthedocs.io/en/latest/howto/operator/gcp/natural_language.html Best regards, @alimgafar I am very interested in such services. We have a lot of guides, but it would be useful to review them and introduce improvements. I count on your suggestions. If you want to start, I invite you to read the contribution guide. https://github.com/apache/airflow/blob/master/CONTRIBUTING.rst All operators are available here https://github.com/apache/airflow/tree/master/docs/howto/operator/gcp If you have questions, you can also write on Apache Sllack - Kamil BreguĊa https://apache-airflow-slack.herokuapp.com/ https://app.slack.com/team/UEGUANE59 This is an automated message from the Apache Git Service. To respond to the message, please log on to 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
[GitHub] [airflow] mik-laj commented on issue #8207: Create guide for Machine Learning Engine operators
mik-laj commented on issue #8207: Create guide for Machine Learning Engine operators URL: https://github.com/apache/airflow/issues/8207#issuecomment-614063864 Hello, I am very happy that you want to work on it. I prepared a guide that describes how to write new guides. https://docs.google.com/document/d/1RLQiuADIX00uGh0Llfcvv8WyCcayD6Cwkx4MNnHvDOc/edit#heading=h.wchyosj84oht This document is WIP. If you have questions, you can ask in the document comments or here. All Examples for GCP are available in the [example_dag](https://github.com/apache/airflow/tree/master/airflow/providers/google/cloud/example_dags) directory. Example for ML Engine is also [available](https://github.com/apache/airflow/blob/master/airflow/providers/google/cloud/example_dags/example_mlengine.py). Best regards, Kamil This is an automated message from the Apache Git Service. To respond to the message, please log on to 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
