load | AutoDataPrep in AutoML | teradataml - load - Teradata Package for Python

Use the load() function to load the AutoDataPrep generated data from the database in the session to use it for model training or scoring. This function returns a dictionary of DataFrames containing the datas generated from AutoDataPrep.

Required Parameter

table_name

Specifies the name of the table containing the information of deployed datasets in the database.

Example: Load data

Create an instance of AutoDataPrep.

>>> aprep_obj = AutoDataPrep()

Load the data from the table.

>>> data = aprep_obj.load("table_name")

Retrieve the data.

>>> print(data)