Go back to the English version of the documentationBatch deployment input details for Scikit-learn and XGBoost models
Batch deployment input details for Scikit-learn and XGBoost models
Last updated: 05 февр. 2025 г.
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 source
Input or output data references:
- Local or managed assets from the space
- Connected (remote) assets: Cloud Object Storage and Storage Volumes
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