Integrate RetroChimera#156
Merged
Merged
Conversation
mrwnmsr
reviewed
Jun 19, 2026
mrwnmsr
approved these changes
Jun 19, 2026
kmaziarz
added a commit
that referenced
this pull request
Jun 25, 2026
Following #156, we now have RetroChimera (and its submodels) available across the library. This PR continues from that by incorporating the new model into all docs and tutorials, making it clear its a much more capable model than those previously available (partially due to being trained on Pistachio), and hence should be treated as a default choice. As part of this, I also updated the example in the "Quick start" tutorial to a slightly nicer one.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This PR integrates RetroChimera and its submodels as possible single-step model choices. Among other things, this required updating the environment file with additional dependencies. As the models tests became more expensive to run, I've also included several changes designed to curb this somewhat; in particular, we used to test a full cartesian product of possible model and algorithm combinations, and this PR instead proposes to test each model once while cycling through search algorithms.
Changes are split into logical commits for easier reviewing.