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AppsDatabricks ToolsDatabricks Ml Experiments Delete Logged Model
Databricks Tools

Databricks Ml Experiments Delete Logged Model

Tool to delete a logged model from MLflow tracking. Use when you need to permanently remove a LoggedModel from the tracking server. The deletion is permanent and cannot be undone. LoggedModels track a model's lifecycle across different training and evaluation runs.

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Use Databricks Ml Experiments Delete Logged Model

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Inputs

  • model_idstring
    Required
    The unique identifier of the logged model to delete. This is the model_id that is assigned when a model is logged using mlflow.<model-flavor>.log_model()

Observable output

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

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