## Recommend

- Use History when adding catids


## Gather

- Maybe more dataset configurations


## Qualify

- Print stats for a dataset

## Fine-tune

- https://www.sbert.net/docs/sentence_transformer/loss_overview.html#loss-table 
  - Use (anchor, positive) pairs to train a new model 
  - Use (sentence) + class labels to train a new model
- Implement BatchAllTripletLoss
- Implement a two-phase training regime 
  - 1. Train with anchored definitions then...
  - 2. Train with class labels


## Evaluate

- Print more information about the dataset coverage of UCS
  - Allow skipping model testing for this

- Print raw output
<!-- - Maybe load everything into a sqlite for slicker reporting -->


## Utility

- Clear caches