deploy | AutoDataPrep in AutoML | teradataml - deploy - Teradata VantageCloud Lake

Use the deploy() function to deploy the AutoDataPrep-generated data to the database, i.e., save the data in the database.

Required Parameter

table_name

Specifies the name of the table to store the information of deployed datasets in the database.

Example setup

• Create an instance of the AutoDataPrep.
• Perform fit() operation on the AutoDataPrep object.
• Deploy the data to the table.
• From teradataml, import AutoDataPrep.
• Load the example data.

>>> load_example_data("teradataml", "titanic")
>>> titanic = DataFrame.from_table("titanic")

Example 1: Deploy data

Create an instance of AutoDataPrep.

>>> aprep_obj = AutoDataPrep(task_type="Classification", verbose=2)

Fit the data.

>>> aprep_obj.fit(titanic, titanic.survived)

Deploy the data to the table.

>>> aprep_obj.deploy("table_name")