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AppsDatabricks ToolsDatabricks Ml Experiments Log Logged Model Params
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Databricks Ml Experiments Log Logged Model Params

Tool to log parameters for a logged model in MLflow. Use when you need to attach hyperparameters or metadata to a LoggedModel object. A param can be logged only once for a logged model, and attempting to overwrite an existing param will result in an error. Available in MLflow 2.…

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Use Databricks Ml Experiments Log Logged Model Params

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Inputs

  • idstring
    Required
    The unique identifier (model_id) of the logged model to log params for. Must be provided
  • paramsarray
    Required
    Parameters to attach to the logged model. Each parameter is a key-value pair where both key and value are strings

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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