To facilitate the key features mentioned in the previous section, teradataml AutoDataPrep provides the following methods:
- AutoDataPrep.__init__: Create instance for AutoDataPrep.
- fit: Fit over given dataset.
- get_data: Retrieve the set of data after Auto Data preparation.
- load: Load the saved datasets from the database.
- deploy: Persist the datasets generated by AutoDataPrep in the database.
- delete_data: Delete the deployed dataset from the database.
- visualize: Generate visualizations to analyze and understand the underlying patterns in the data.