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AppsDatabricks ToolsDatabricks Ml Experiments Search Logged Models
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Databricks Ml Experiments Search Logged Models

Tool to search for logged models in MLflow experiments based on various criteria. Use when you need to find models that match specific metrics, parameters, tags, or attributes using SQL-like filter expressions. Supports pagination, ordering results, and filtering by datasets.

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Use Databricks Ml Experiments Search Logged Models

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Inputs

  • filterstring
    A filter expression over logged model info and data. Supports AND'ing binary operations. Example: 'params.alpha < 0.3 AND metrics.accuracy > 0.9'. Can filter by metrics (metrics.<name>), params (params.<name>), and model attributes
  • datasetsarray
    List of datasets on which to apply the metrics filter clauses. When specified with a metrics filter like 'metrics.accuracy > 0.9', returns logged models meeting the criteria on the specified dataset
  • order_byarray
    The list of columns for ordering the results. Can order by metrics, params, or model attributes
  • page_tokenstring
    The token indicating the page of logged models to fetch for pagination. Obtained from the next_page_token in a previous response
  • max_resultsinteger
    The maximum number of logged models to return. The maximum limit is 50
  • experiment_idsarray
    The IDs of the experiments in which to search for logged models. Note: While optional in the schema, this parameter is effectively required by the Databricks API - requests without it will return a 400 error. Recommended to always provide at least one experiment ID

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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