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)