Right now, language analysis is implemented with callback functions that operate as part of the training process. It would be cleaner and more efficient to decouple it, performing language analysis on trained agents.
Describe the solution you'd like to have implemented
After training, it's possible to save Sender and Receiver and query them with new data for language analysis. The language analysis functions generically operate on data structures such as message and sender_input, independently of their source.
Additional context
Solving this would probably also solve issue #148 (test set): merge?
robertodessi
commented
3 years ago
Is your proposal related to a problem?
Right now, language analysis is implemented with callback functions that operate as part of the training process. It would be cleaner and more efficient to decouple it, performing language analysis on trained agents.
Describe the solution you'd like to have implemented
After training, it's possible to save Sender and Receiver and query them with new data for language analysis. The language analysis functions generically operate on data structures such as message and sender_input, independently of their source.
Additional context
Solving this would probably also solve issue #148 (test set): merge?