Replaces the model artifact for a model.
For more information, see Uploading a Model Artifact.
| Input Parameter | Type | Default | Description |
|---|---|---|---|
| project_id | str | None | The unique identifier for the project. |
| model_id | str | None | A unique identifier for the model. |
| delete_prod | Optional [bool] | False | If True, published events will also be deleted. |
| delete_pred | Optional [bool] | True | If True, prediction data will also be deleted. |
Info
Note that by default, published events are not deleted. This means if you delete a model and recreate it with the same model ID, your old events will still be available. To delete the old events, ensure that delete_prod is set to True.
PROJECT_ID = 'example_project'
MODEL_ID = 'example_model'
client.delete_model(
project_id=PROJECT_ID,
model_id=MODEL_ID,
delete_prod=True
)