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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} -- This message was sent by Atlassian JIRA (v7.6.3#76005)