[jira] [Updated] (AIRFLOW-3624) Add masterType parameter to MLEngineTrainingOperator

["Ash Berlin-Taylor (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/AIRFLOW-3624?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ash Berlin-Taylor updated AIRFLOW-3624:
---------------------------------------
    Fix Version/s: 1.10.4
      Component/s: gcp

> Add masterType parameter to MLEngineTrainingOperator
> ----------------------------------------------------
>
>                 Key: AIRFLOW-3624
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-3624
>             Project: Apache Airflow
>          Issue Type: Improvement
>          Components: gcp, operators
>            Reporter: K.K. POON
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 1.10.4
>
>
> Ref to document https://cloud.google.com/ml-engine/docs/tensorflow/machine-types
> When the scale_tier is set to CUSTOM, user should specify masterType
> {quote}The CUSTOM tier is not a set tier, but rather enables you to use your own cluster specification. When you use this tier, set values to configure your processing cluster according to these guidelines:
> {quote} * 
> {quote}You must set {{TrainingInput.masterType}} to specify the type of machine to use for your master node. This is the only required setting. See the [machine types|https://cloud.google.com/ml-engine/docs/tensorflow/machine-types#machine_type_table] described below.{quote}



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