Update Model Configurations

You can update a deployed model’s configuration either via the Dataloop UI or programmatically using the SDK.

🖥️ Update via the UI

Refer to the Dataloop Documentation.

Update via the SDK

You can also modify model configurations programmatically using the Dataloop SDK:

import dtlpy as dl

# Get the model by ID
model = dl.models.get(model_id='<your-model-id>')

# Update the configuration
model.configuration['new'] = 'value'

# Save and reload associated services
model.update(reload_services=True)

Parameters:

• model_id – The unique identifier of your model.
• reload_services: – Set to True if you want all related services to be updated with the new configuration.
  • When you use model.update(reload_services=False), the model's configuration is updated, but the changes are not applied to any deployed services that use this model.