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PkgEval regularly discards testing of this package because it generates enormous volumes of test output, e.g., https://s3.amazonaws.com/julialang-reports/nanosoldier/pkgeval/by_date/2022-11/25/Symboli…
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First, thanks for the great package!
I'm trying to adopt known formula to simplify/facilitate the procedure of symbolic regression.
For example, when $\varepsilon \ll 1$, we obtained a first order a…
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If I try to use bigfloat variables I get an error:
`ERROR: MethodError: no method matching randn(::Random.TaskLocalRNG, ::Type{BigFloat})`
OT question: Can I use SymbolicRegression to generate ra…
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Hi all,
I was wondering if you could help me solve the following mystery. As described in detail on [discourse](https://discourse.julialang.org/t/github-action-mysteriously-starts-breaking-on-windo…
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Reading through some of the code, I noticed a typo in this block:
https://github.com/MilesCranmer/SymbolicRegression.jl/blob/90830eb421f7af50203e6a425a1ee66b3e44429b/src/EvaluateEquationDerivative.jl…
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Is it possible to use SymbolicRegression to express a number as a function of given constants?
If I have a number (2.221441469079) and a vector ([2.0, π, ℯ]), can I get a function built with the cons…
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**Describe the bug**
Due to following lines, SymbolicRegressions.jl does not get installed into an environment indicated by the `julia_project` argument of `pysr.install`. `is_shared` is always fal…
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There is an error that prevents the execution of the example program.
- OS: Ubuntu 20.04
- Julia version 1.4.1
- Python version 3.7.7
- PySR version 0.9.5
- Does the bug still appear with the l…
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I am interested in finding a way to modify the loss function in PySR. As in, getting the expression, giving to a different function which gives the loss, rather than having a prediction as such.
I …
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Hi,
I can't really figure out how to increase the precision when optimizing constants. I'm looking at data corresponding to the analytical expression `sin(x)/exp(x/5)`. The search yields one form o…