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Fix links in options
Browse files- docs/options.md +19 -18
docs/options.md
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Some configurable features and options in `PySR` which you
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may find useful include:
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These are described below
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and the columns will be used as variable names. Make sure only
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alphabetical characters and `_` are used in these names.
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## Constraining
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One can limit the complexity of specific operators with the `constraints` parameter.
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There is a "maxsize" parameter to PySR, but there is also an operator-level
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of up to complexity 3 (e.g., 5.0 + x2) in each side, and cosine can only operate on
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expressions of complexity 5 (e.g., 5.0 + x2 exp(x3)).
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## LaTeX
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After running `model.fit(...)`, you can look at
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`model.equations` which is a pandas dataframe.
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- `model.pytorch()` will return a PyTorch model (see below).
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##
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By default, the dataframe of equations will contain columns
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with the identifier `lambda_format`.
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Some configurable features and options in `PySR` which you
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may find useful include:
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- [`model_selection`](#model-selection)
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- [`binary_operators`, `unary_operators`](#operators)
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- [`niterations`](#iterations)
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- [`ncyclesperiteration`](#cycles-per-iteration)
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- [`procs`](#processors)
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- [`populations`](#populations)
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- [`weights`](#weighted-data)
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- [`maxsize`, `maxdepth`](#max-size)
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- [`batching`, `batch_size`](#batching)
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- [`variable_names`](#variable-names)
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- [Constraining use of operators](#constraining-use-of-operators)
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- [LaTeX and SymPy](#latex-and-sympy)
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- [Exporting to numpy, pytorch, and jax](#exporting-to-numpy-pytorch-and-jax)
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- [`loss`](#loss)
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- [Model loading](#model-loading)
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These are described below
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and the columns will be used as variable names. Make sure only
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alphabetical characters and `_` are used in these names.
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## Constraining use of operators
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One can limit the complexity of specific operators with the `constraints` parameter.
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There is a "maxsize" parameter to PySR, but there is also an operator-level
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of up to complexity 3 (e.g., 5.0 + x2) in each side, and cosine can only operate on
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expressions of complexity 5 (e.g., 5.0 + x2 exp(x3)).
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## LaTeX and SymPy
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After running `model.fit(...)`, you can look at
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`model.equations` which is a pandas dataframe.
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- `model.pytorch()` will return a PyTorch model (see below).
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## Exporting to numpy, pytorch, and jax
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By default, the dataframe of equations will contain columns
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with the identifier `lambda_format`.
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