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Posted to commits@airflow.apache.org by "K.K. POON (JIRA)" <ji...@apache.org> on 2019/01/03 09:06:00 UTC

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

K.K. POON created AIRFLOW-3624:
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             Summary: Add masterType parameter to MLEngineTrainingOperator
                 Key: AIRFLOW-3624
                 URL: https://issues.apache.org/jira/browse/AIRFLOW-3624
             Project: Apache Airflow
          Issue Type: Improvement
          Components: operators
            Reporter: K.K. POON


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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