Comments (4)
What version of PySR are you running? This looks like the old API.
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I have this version pysr-0.5.16.post2 and even uninstalling and reinstalling gives me this version using pip. Is there a julia/python version requirement?
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Ah, that is why. You need 0.6 and up. Upgrade with:
pip install --upgrade pysr
from pysr.
By the way - sorry I didn't mention it, but to use best_callable
, pass the same X
as you passed to the PySR call. The same is true even for constant solutions (though in that case, I suppose any array would work...).
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Related Issues (20)
- [BUG]: PyCall.jlwrap error-- dimensional constraint HOT 2
- [BUG]: Dimensional constraint not being applied. HOT 8
- [BUG]: PySR runs well once and then stops after error HOT 1
- [Feature]: Make sympy2torch export functions, not objects
- [BUG]: Installation failed on Windows: failed to clone from SymbolicRegression.jl HOT 2
- [BUG]: Julia interface fails on conda environments HOT 12
- [BUG]: PySR currently incompatible with Python 3.12 HOT 4
- [Feature]: Adding linting to pre-commit hooks HOT 1
- [Feature]: How can I use GPU to accelerate training, like deep learning? HOT 5
- [BUG]: runtime grows to infinity HOT 5
- [Feature]: Self-contained install/user interface HOT 1
- [Feature]: Big Data and partial differential operator
- Understanding accuracy of expressions HOT 5
- Rethinking default behavior for number of iterations
- [Feature]: fixsize HOT 2
- [BUG]: Small typo in documentation HOT 1
- [BUG]: Possible memory leakage & best practices for memory scaling? HOT 5
- [Feature]: Add priori of equation form HOT 1
- [BUG]: PySR can not rediscover X^2 HOT 3
- [Feature]: Composite regressors
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