verticapy.machine_learning.vertica.naive_bayes.NaiveBayes.register#

NaiveBayes.register(registered_name: str, raise_error: bool = False) → bool#

Registers the model and adds it to in-DB Model versioning environment with a status of ‘under_review’. The model must be native and already saved in-DB to be registered.

Parameters#

registered_name: str: Identifies an abstract name to which the model is registered.
raise_error: bool, optional: If set to True and an error occurs, raises the error.

Returns#

bool: Returns True when registeration is successful; False otherwise.

Examples#

Let’s consider, we’ve fitted a model model. In order to register the model for tracking and versioning:

model.register("model_v1")

Please refer to Model Tracking and Versioning for more details on model tracking and versioning.

Important

For this example, a specific model is utilized, and it may not correspond exactly to the model you are working with. To see a comprehensive example specific to your class of interest, please refer to that particular class.