JobId not used when specified

[javierluraschi]

Follow up from #213

@javierluraschi That works! Thanks a lot! :-)

Just couple more points. If I provide a custom job id and a storage location in job.yml and place it in the working directory, cloudml_train() doesn't recognize it and takes the default job_id (cloudml_datetimestamp) and a default storage location

job.yml

jobId: local-r-heramb
storage: gs://data-science-storage-bucket/
custom_commands: ~
This is not a very critical issue. Just for the highlight

Thanks once again for resolving this! Appreciate it very much

-Heramb

[herambgadgil]

@javierluraschi - Another thing that would be very useful is if we could specify where to store the dry-run directory instead of getting auto-saved into the temp folder.

Dry-run option packages the training model script in a similar way of how a python script would be packaged before sending to the AI instance through airflow/composer jobs.