Batch deployment input details for AutoAI models

Data Sources

Input/output data references:

• Local/managed assets from the space
• Connected (remote) assets: Cloud Object Storage

Notes:

• For connections of type Cloud Object Storage , you must configure Access key and Secret key, also known as HMAC credentials.
• Your training data source can differ from your deployment data source, but the schema of the data must match or the deployment will fail. For example, you can train an experiment by using data from a Snowflake database and deploy by using input data from a Db2 database if the schema is an exact match.
• The environment variables parameter of deployment jobs is not applicable.

If you are specifying input/output data references programmatically:

• Data source reference type depends on the asset type. Refer to the Data source reference types section in Adding data assets to a deployment space.
• For AutoAI assets, if the input or output data reference is of type connection_asset and the remote data source is a database then location.table_name and location.schema_name are required parameters. For example:

 "input_data_references": [{
                    "type": "connection_asset",
                    "connection": {
                            "id": <connection_guid>
                    },
                    "location": {
                            "table_name": <table name>,
                            "schema_name": <schema name>
                            <other wdp-properties supported by runtimes>
                    }
            }]

Parent topic: Batch deployment input details by framework