Batch deployment input details for Scikit-learn and XGBoost models

Follow these rules when you are specifying input details for batch deployments of Scikit-learn and XGBoost models.

Data type summary table:

Accepted data types and file formats
Data	Description
Type	Inline, data references
File formats	CSV, .zip archive that contains CSV files

Data source

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.

Notes:

The environment variables parameter of deployment jobs is not applicable.
For cloud storage connections such as Cloud Object Storage, you must configure Access key and Secret key, also known as HMAC credentials.