Teradata Package for Python Function Reference on VantageCloud Lake - set_model - Teradata Package for Python - Look here for syntax, methods and examples for the functions included in the Teradata Package for Python.
Teradata® Package for Python Function Reference on VantageCloud Lake
- Deployment
- VantageCloud
- Edition
- Lake
- Product
- Teradata Package for Python
- Release Number
- 20.00.00.03
- Published
- December 2024
- ft:locale
- en-US
- ft:lastEdition
- 2024-12-19
- dita:id
- TeradataPython_FxRef_Lake_2000
- Product Category
- Teradata Vantage
- teradataml.hyperparameter_tuner.optimizer.GridSearch.set_model = set_model(self, model_id)
- DESCRIPTION:
Function to set the model to use for Prediction.
PARAMETERS:
model_id:
Required Argument.
Specifies the unique identifier for model.
Note:
* Not significant for non-model trainer functions.
Types: str
RETURNS:
None
RAISES:
TeradataMlException, ValueError
EXAMPLES:
>>> # Create an instance of the search algorithm called "optimizer_obj"
>>> # by referring "__init__()" method.
>>> # Perform "fit()" method on the optimizer_obj to populate model records.
>>> # Set the default trained model.
>>> optimizer_obj.set_model(model_id="SVM_1")