evaluate | GridSearch | Hyperparameter Tuning in teradataml - evaluate - Teradata Vantage

Use the evaluate() method for evaluation using trained models from Analytics Database, VAL, and UAF features.

Evaluation are done using the default trained model.

Optional Arguments:

• kwargs: Specifies the keyword arguments. Accepts additional arguments required for the teradataml analytic function evaluations.

  If this argument is empty, internal sampled test dataset and arguments are used for evaluation. Otherwise, all arguments required with validation data need to be passed for evaluation.

Output teradataml DataFrames can be accessed using attribute references, such as HPTEvaluateObj.<attribute_name>. Output teradataml DataFrame attribute name is: result.