Skip to content

Latest commit

 

History

History
16 lines (8 loc) · 668 Bytes

run_own.md

File metadata and controls

16 lines (8 loc) · 668 Bytes

Cook Your Own Model

We made some effort to make this easy to extend and we are very happy that you are interested in cooking your own CL model using PyContinual. In order to achieve this, you only need to review the following files: ./networks, ./approaches, and impoty_classification.py

Steps

  1. Build your network architecture in ./networks
  2. Define your training strategy in ./approaches
  3. (Optional) add you new dataloader in ./dataloader
  4. Finally, add the import statement in the impoty_classification.py
  5. You are now all set! You are more than welcomed to create a PR for your model to make PyContinual "continually" growing!