verticapy.mlops.model_versioning.RegisteredModel#
- class verticapy.mlops.model_versioning.RegisteredModel(registered_name: str)#
Creates a RegisteredModel object to load and use a registered model. This class is intended to be used mostly by a user with an MLSUPERVISOR role. Nevertheless, an ordinary users can also use it to monitor the status of their registered models.
Parameters#
- registered_name: str
This is a registered model name that represents all the versions of models registered with this name.
- __init__(registered_name: str) None#
Methods
__init__(registered_name)change_status(version, new_status)Changes the status of a model.
Returns the list of the registered models with the same name that the user has USAGE privilege on.
list_status_history([version])Returns the model status-change history.
predict(vdf[, X, name, cutoff, inplace, version])Makes predictions on the input relation.
predict_proba(vdf[, X, name, pos_label, ...])Returns the model's probabilities using the input relation.