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AppsDatabricks ToolsDatabricks Ml Experiments Finalize Logged Model

Databricks Tools

Databricks Ml Experiments Finalize Logged Model

Usa Databricks Ml Experiments Finalize Logged Model con Databricks Tools mediante Aident Loadout. Revisa sus entradas, salidas, configuración, precio y riesgo antes de ejecutarla.

Action de escrituraNivel de riesgo 2 de 5

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Aident Loadout Aident Playbook Editor Open-CUAK

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Conexión con clave de API

Usar Databricks Ml Experiments Finalize Logged Model

Descripción del proveedor

Tool to finalize a logged model in MLflow by updating its status to READY or FAILED. Use when custom model preparation logic is complete and you need to mark the model as ready for use or indicate that upload failed. This is part of the experimental logged models feature introdu…

Precios y límites

Precio: Action gratuita
Pago unificado: No compatible actualmente

Entradas

statusstring
Obligatorio
Final status to set on the model. Use LOGGED_MODEL_READY when model files are completely uploaded and ready for use, or LOGGED_MODEL_UPLOAD_FAILED if an error occurred during model upload
model_idstring
Obligatorio
The unique identifier of the logged model to finalize. This ID is assigned when the model is initially created

Salida observable

data
Obligatorio
Data from the action execution
errorstring
Error if any occurred during the execution of the action
successfulboolean
Obligatorio
Whether or not the action execution was successful or not

Skills que usan esta Action

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Fuente del proveedor

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