-
Notifications
You must be signed in to change notification settings - Fork 225
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[Feature]: Add priori of equation form #494
Comments
Hi @prozhuyi, The current method for doing this is exemplified here: https://astroautomata.com/PySR/examples/#9-custom-objectives. An easier way to do this is being discussed here: MilesCranmer/SymbolicRegression.jl#193. (Help is always appreciated!) Cheers, |
@MilesCranmer Can SymbolicRegression.jl/issues/193 be used in pysr ? Is there this module in PySRRegressor ? |
@zhuyi-bjut this is something in development at the moment. It likely won’t be ready for at the very least a few months. In the meantime I would try the custom objectives and post on the discussions page with any issues you are running into. |
Hi Miles @MilesCranmer , When I implement constraints such as F = f ( x1, x2, x3 ) / g ( x4, x5 ), the regularization term is constructed to constrain the child nodes. However, when I deal with symbolic nodes, I construct constraints according to PySR/examples/#9-custom-objectives : it actually forces prediction to be equal to f1 / g1, but does not pass ' / ' to loss. Therefore, in subsequent processing, it may be necessary to manually replace other symbols with ' / '. I wonder whether it is possible to constrain the symbol node to be equal to a certain symbol, such as tree.l = = ' / ', just like using the regularization term to constrain the child node. Can similar functions be implemented in the loss item ? |
Assuming that |
Feature Request
Hi!When I want to find some expressions from my data, I want his form to be specific. For example, I hope that the equation form obtained by pysr is C1 * x1 + ( C2 * x2 / F ), where F is the term to be found, C1 and C2 are constants to be found. This is equivalent to the form of a constrained expression tree, that is, adding a priori. Is it possible for today 's pysr to implement this function ?
Thanks!
The text was updated successfully, but these errors were encountered: