AutoDataPrep simplifies the data preparation process by automating the different aspects of data cleaning and transformation, enabling seamless exploration, transformation, and optimization of datasets.
The function returns an instance of AutoDataPrep.
Optional Arguments
- task_type
- Specifies the task type for AutoDataPrep, whether to apply regression OR classification on the provided dataset. If you want AutoDataPrep() to decide the task type automatically, set task_type to "Default".
Permitted values: "Regression", "Classification", "Default"
Default value: "Default"
- verbose
- Specifies the detailed execution steps based on verbose level. Permitted values:
- 0: prints the progress bar.
- 1: prints the execution steps.
- 2: prints the intermediate data between the execution of each step.
Default value: 0
- volatile
- Specifies whether to put the interim results of the functions in a volatile table or not. When set to True, results are stored in a volatile table, otherwise not.
Default value: False
- persist
- Specifies whether to persist the interim results of the functions in a table or not. When set to True, results are persisted in a table; otherwise, results are garbage collected at the end of the session.
Default value: False