Important:
IBM Cloud Pak® for Data Version 4.7 will reach end of support (EOS) on 31 July, 2025. For more information, see the Discontinuance of service announcement for IBM Cloud Pak for Data Version 4.X.
Upgrade to IBM Software Hub Version 5.1 before IBM Cloud Pak for Data Version 4.7 reaches end of support. For more information, see Upgrading IBM Software Hub in the IBM Software Hub Version 5.1 documentation.
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:
| Data | Description |
|---|---|
| Type | inline, data references |
| File formats | CSV, .zip archive that contains CSV files |
Data Sources
Input/output data references:
- Local/managed assets from the space
- Connected (remote) assets from these sources:
If you are specifying input/output data references programmatically:
- Data source reference
typedepends 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 connections of type Cloud Object Storage or Cloud Object Storage (infrastructure), you must configure Access key and Secret key, also known as HMAC credentials,
Parent topic: Batch deployment input details by framework