Data Preparation Insights
Ludwig offers basic data preprocessing functionalities like feature normalization and tokenization, but users are encouraged to handle specific preprocessing needs externally. The library aims to simplify machine learning by allowing users to define models through configuration files instead of traditional coding, making it more accessible to a wider audience. The design choices prioritize certain data types, enhancing usability for compatible problems.In this clip
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