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Databricks Search Mlflow Experiments

Tool to search for MLflow experiments with filtering, ordering, and pagination support. Use when you need to find experiments based on name patterns, tags, or other criteria. Supports SQL-like filtering expressions and ordering by experiment attributes.

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Use Databricks Search Mlflow Experiments

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Pricing
Free
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Inputs

  • filterstring
    SQL-like expression for filtering experiments using operators (=, !=, LIKE, ILIKE) against experiment attributes and tags. Example: "name LIKE 'test-%' AND tags.key = 'value'"
  • order_byarray
    List of columns for ordering search results, which can include experiment name and id with an optional 'DESC' or 'ASC' annotation. Example: ['name DESC', 'experiment_id ASC']
  • view_typestring
    Qualifier for type of experiments to be returned. ACTIVE_ONLY returns only active experiments (default), DELETED_ONLY returns only deleted experiments, ALL returns all experiments regardless of deletion status.
  • page_tokenstring
    Token indicating the page of experiments to fetch. Use the next_page_token from a previous response to retrieve the next page of results.
  • max_resultsinteger
    Maximum number of experiments desired. Servers may select a desired default max_results value. If not specified, the server will choose a default limit.

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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