Offline Training

Consider the effectiveness and viability of performing offline training. This could be individual user data, global user data, or data from a study. This may allow a baseline performance which jump starts the accuracy.

The issue does not name any files, tests, or entry points. Start by evaluating offline training with individual user data, global user data, or study data, and compare whether it provides a useful baseline. Done would require a defined approach and evidence that it improves or jump-starts accuracy.

Written by the indexing model from the issue text.