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Create guide for Machine Learning Engine operators #8207
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Hello, I'm very new to contribute to open source projects and to Airflow, but I would like to contribute to learn some stuff. I do have a background in Data Science and im shifting more to data engineering now. I would like more information about it and also where can I see this example DAG for ML service? Best regards, |
Hello, I am very happy that you want to work on it. I prepared a guide that describes how to write new guides. Best regards, |
Hello, I am not able to understand what you are asking for. If you can just explain it more, it will be very useful. |
I'm new to Airflow and this project. I would like to offer my help to review and edit materials for the guide as this is a role I've had professionally in my past. Let me know if you can use such services. |
@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. 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. |
Hello I have a question.
Best regards |
@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. |
Kamil,
Sorry about the delay responding. This email fell into Bulk messages. I’ll look over the information you’ve provided.
Regards,
Alim
… On Apr 21, 2020, at 10:17 PM, Kamil Breguła ***@***.***> wrote:
@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 docs for GCP 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 Breguła
https://apache-airflow-slack.herokuapp.com/
https://app.slack.com/team/UEGUANE59
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|
Hello, I have submitted a part of the guide. It can be used by others here working on it aswell. Any feedback is always welcome. Best regards, |
@mik-laj @U-Ozdemir Hello! I am currently interning at Google this summer and this issue is very relevant to the work I am doing. If you are not working on this issue anymore, I would love to take over. When I am finished, I can create a new PR and give you some credit as well! |
@vuppalli I've assigned you to this ticket. If you have questions, go ahead and ask. I invite you to read the contribution guide. |
@vuppalli Hello friend. Sorry I did not reply earlier, I would be very happy if you can take over. Currently I am busy with another project which has priority. So by all means use it and I hope it will help you a bit further. |
Description
Hello,
A guide that describes how to use Machine Learning Engine service operators would be useful.
We have an example DAG for this service, so the guide should not be a big challenge.
If anyone is interested in this task, I am willing to provide all the necessary tips and information.
Other guides are available:
https://airflow.readthedocs.io/en/latest/howto/operator/index.html
All example DAGs for GCP are available in the example_dags directory.
Best regards,
Kamil
Use case / motivation
N/A
Related Issues
Missing guide for GCP: #8209
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