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AppsDatabricks ToolsDatabricks Ml Experiments Search Logged Models

Databricks Tools

Databricks Ml Experiments Search Logged Models

Utilisez Databricks Ml Experiments Search Logged Models avec Databricks Tools via Aident Loadout. Vérifiez les entrées, sorties, la configuration, le tarif et le risque avant exécution.

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Utiliser Databricks Ml Experiments Search Logged Models

Description du fournisseur

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.

Tarifs et limites

Tarif: Action gratuite
Paiement unifié: Non pris en charge actuellement

Entrées

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

Sortie observable

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

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