Is Auto-sklearn suitable for deep learning tasks?
Auto-sklearn is primarily designed for classical machine learning on tabular data and does not support deep learning models like neural networks.
Can I use Auto-sklearn with non-Python environments?
Auto-sklearn is a Python library and requires a Python environment. However, models can be exported and used in other systems if compatible.
How does Auto-sklearn handle missing data?
Auto-sklearn includes preprocessing steps that can handle missing values automatically, but it is recommended to preprocess data beforehand for best results.
What are the hardware requirements for running Auto-sklearn?
Auto-sklearn can be resource-intensive depending on dataset size and time limits. A multi-core CPU and sufficient RAM are recommended for efficient operation.