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README.md
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@@ -14,7 +14,7 @@ Uses regularized evolution, simulated annealing, and gradient-free optimization.
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[Documentation](https://pysr.readthedocs.io/en/latest)
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Check out [SymbolicRegression.jl](https://github.com/MilesCranmer/SymbolicRegression.jl) for
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the pure-Julia
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Symbolic regression is a very interpretable machine learning algorithm
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for low-dimensional problems: these tools search equation space
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@@ -52,7 +52,6 @@ then instructions for [mac](https://julialang.org/downloads/platform/#macos)
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and [linux](https://julialang.org/downloads/platform/#linux_and_freebsd).
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(Don't use the `conda-forge` version; it doesn't seem to work properly.)
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-
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You can install PySR with:
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```bash
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pip install pysr
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[Documentation](https://pysr.readthedocs.io/en/latest)
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Check out [SymbolicRegression.jl](https://github.com/MilesCranmer/SymbolicRegression.jl) for
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the pure-Julia backend of this package.
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Symbolic regression is a very interpretable machine learning algorithm
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for low-dimensional problems: these tools search equation space
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and [linux](https://julialang.org/downloads/platform/#linux_and_freebsd).
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(Don't use the `conda-forge` version; it doesn't seem to work properly.)
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You can install PySR with:
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```bash
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pip install pysr
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