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Could you tell me, How to fix a number of variables in predicted equations? For example, I'm giving 5 variables as input, I need an equation with these 5 variables.
At present, I'm getting a number…
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I noticed that it took quite some time for the symbolic regression to beat a simple variable subset selection using linear regression. To clarify what I mean with this, I consider a large regressor ma…
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Operators should be default use NaNMath https://github.com/mlubin/NaNMath.jl, instead of my versions which simply map input to the valid domain like `log(abs(x))`. Since the evaluator already detects …
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**Describe the bug**
I tried several times: first I with the same python version but used julia version 1.7.3 and 1.7.1 the error was like this:
FileNotFoundError: Julia is not installed in your P…
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**Describe the bug**
When running `model.fit()`, the process will stop at a seemingly random iteration number. This may be due to collisions between workers when using `multithreading=False`. The i…
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When I include functions like exp and sqrt in SymbolicRegression, it's easy to end up with imaginary numbers such as sqrt(-1.4) or log(-4) lurking in the fitted formula. Even when my feature values ar…
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### Solution to issue cannot be found in the documentation.
- [X] I checked the documentation.
### Issue
Julia isn't installable on ARM-based MacOS. If helpful, I know that PyTorch has ARM support …
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Edit: If you are seeing issues with the conda version, try updating PySR with `conda update pysr`. The new version fixes an issue related to automatic updating of Julia packages.
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The conda-f…
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This upper bound https://github.com/MilesCranmer/SymbolicRegression.jl/pull/63 is causing some issues using SymbolicRegression.jl, which is then blocking updates in DataDrivenDiffEq.jl. @shashi can yo…
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Hi Miles,
Is there a way for this to run in `float64` or `float32` at run time, rather than modding the code? I am writing some code that uses PySR, and the changes we made to make it work previou…