Function getMlExperimentModels

Parameters

• experimentId: string

  ID of the experiment

• query: { filter?: string; limit?: number; offset?: number; sort?: EnumSortModels }

  an object with query parameters

  • Optionalfilter?: string

    Model fields you can filter by:
    
    

    • experimentVersionId UUID string - Find by experiment version ID

    • batchNum UUID string - Search by batch number

    • isHpo boolean - Is hyperparameter optimization used?

    • isMetrics boolean - Are metrics for regression, binary, or multiclass are used?

    • id UUID string - Find by model ID

    • algorithm enum string - Find by algorithm
      
      

      • Valid algorithms: catboost_classifier, catboost_regression, elasticnet_regression, gaussian_nb, kneighbors_classifier, lasso_regression, lasso, lgbm_classifier, lgbm_regression, linear_regression, logistic_regression, random_forest_classifier, random_forest_regression, sgd_regression, xgb_classifier, xgb_regression
        
        

    • status enum string - find by status
      
      

      • Valid statuses: pending, training_requested, training_done, ready, error
        
        

    • hasDeployment boolean - Models that are part of a deployment

    • nameContains string - Models with name includes this case-insensitive string

    • exactName string - Models with exact name. Model names may not be unique

    • samplingRatio number - Find models by sampling ratio

    • modelState enum string - State by which to find models
      
      

      • Valid states: pending, enabled, disabled, inactive

  • Optionallimit?: number

    Number of results per page. Default is 32.

  • Optionaloffset?: number

    Number of rows to skip before getting page[size]

  • Optionalsort?: EnumSortModels

    Field(s) by which to sort response

• Optionaloptions: ApiCallOptions