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Binary learning with --disk learning
Hey! We have big dataset for training (few TB), so we use your library with --disk learning option. We spend significant time on dataset parsing. On practice, if generate binary file and start RAM learning (with --no-bin and without), second variant would be faster. While on disk mode doesn't use/generate binary file, why?
@4ound The binary file could beyond you RAM capability, so we only generate binary file for in-memory training.