KTT Hierarchical Classification System’s documentation!
KTT Hierarchical Classification System (KTT for short) is a training and inference framework specifically designed for hierarchial multilabel text classification (HMTC) workloads. It is preloaded with seven classification models and a builtin GPU-powered inference pipeline based on the BentoML model inference framework.
Contents:
- Usage
- System design
- Encoders
- Prebuilt models
- Developing new encoders
- Developing new models
- Advanced guides
- References