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High-Performance Symbolic Regression in Python and Julia

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### Feature Request Is the user able to fix the size of the generated expressions, or only the max size? If so, can fixsize be added as an optional feature?

enhancement

Thanks to @j-thib for pointing this out, I didn't realize the SymPy maps were not built-in. However this gets fairly complicated as we need to map `sympy.Piecewise` into torch/jax code....

A variety of functions in SymbolicRegression.jl requires the `Options` type as input. This PR saves the `Options` in the `.sr_options_` attribute of PySRRegressor so it's easier to access various functions....

Something I have noticed is that many users expect the result of `.fit(X, y)` to be converged for the default parameters, and are surprised that running it a second time...

community input
priority: high

hello! In my recent research, I used pysr to do some symbolic regression tasks. I found that pysr 's loss is even smaller than ANN in some cases. How can...

### What happened? Hi, PySR runs great for me when I use a relatively small dataset (k

bug

### Feature Request I am looking around to try out a few symbolic regression packages. it would be nice to be able to give it a few data points and...

enhancement
priority: mid

### Feature Request It would be useful to have some default plot utilities. These could go into `pysr.contrib.plot`, and could have different user-contributed plotting scripts. One I usually like to...

enhancement
priority: mid

## Feature Request Choose a linter to use in the project. Adding this linter to the pre-commit hooks as the final stage. Remove isort as it's functionality would be covered...

enhancement
priority: high

### Feature Request Right now sympy2jax is functional. It returns a dictionary containing a function and some parameters. However, sympy2torch is object-oriented. It returns a module. I think the functional...

enhancement
priority: low