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@@ -277,7 +277,8 @@ SymPy format (`sympy_format` - which you can also get with `model.sympy()`), and
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  Note that `PySRRegressor` stores the state of the last search, and will restart from where you left off the next time you call `.fit()`, assuming you have set `warm_start=True`.
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  This will cause problems if significant changes are made to the search parameters (like changing the operators). You can run `model.reset()` to reset the state.
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- You will notice that PySR will save two files: `hall_of_fame...csv` and `hall_of_fame...pkl`.
 
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  The csv file is a list of equations and their losses, and the pkl file is a saved state of the model.
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  You may load the model from the `pkl` file with:
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  Note that `PySRRegressor` stores the state of the last search, and will restart from where you left off the next time you call `.fit()`, assuming you have set `warm_start=True`.
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  This will cause problems if significant changes are made to the search parameters (like changing the operators). You can run `model.reset()` to reset the state.
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+ You will notice that PySR will save two files:
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+ `hall_of_fame...csv` and `hall_of_fame...pkl`.
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  The csv file is a list of equations and their losses, and the pkl file is a saved state of the model.
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  You may load the model from the `pkl` file with:
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