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AppsDatabricks ToolsDatabricks Ml Experiments Log Inputs
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Databricks Ml Experiments Log Inputs

Tool to log dataset inputs to an MLflow run for tracking data sources used during model development. Use when you need to track metadata about datasets used in ML experiment runs, including information about the dataset source, schema, and tags. Enables logging of dataset inputs…

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Use Databricks Ml Experiments Log Inputs

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Inputs

  • run_idstring
    Required
    ID of the run to log under. This field is required. The unique identifier for the MLflow run where dataset inputs will be logged
  • datasetsarray
    Collection of dataset inputs being logged to the run. Each entry contains dataset metadata and optional tags

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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