MilesCranmer commited on
Commit
f7ce7ac
1 Parent(s): 874bbe6

Remove spaces in attributes section

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Files changed (1) hide show
  1. pysr/sr.py +0 -9
pysr/sr.py CHANGED
@@ -492,33 +492,24 @@ class PySRRegressor(MultiOutputMixin, RegressorMixin, BaseEstimator):
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  ----------
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  equations_ : { pandas.DataFrame | list[pandas.DataFrame] }
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  Processed DataFrame containing the results of model fitting.
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-
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  n_features_in_ : int
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  Number of features seen during :term:`fit`.
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  feature_names_in_ : ndarray of shape (`n_features_in_`,)
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  Names of features seen during :term:`fit`. Defined only when `X`
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  has feature names that are all strings.
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-
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  nout_ : int
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  Number of output dimensions.
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  selection_mask_ : list[int] of length `select_k_features`
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  List of indices for input features that are selected when
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  :param`select_k_features` is set.
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  tempdir_ : Path
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  Path to the temporary equations directory.
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  equation_file_ : str
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  Output equation file name produced by the julia backend.
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  raw_julia_state_ : tuple[list[PyCall.jlwrap], PyCall.jlwrap]
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  The state for the julia SymbolicRegression.jl backend post fitting.
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  equation_file_contents_ : list[pandas.DataFrame]
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  Contents of the equation file output by the Julia backend.
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-
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  show_pickle_warnings_ : bool
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  Whether to show warnings about what attributes can be pickled.
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  ----------
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  equations_ : { pandas.DataFrame | list[pandas.DataFrame] }
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  Processed DataFrame containing the results of model fitting.
 
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  n_features_in_ : int
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  Number of features seen during :term:`fit`.
 
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  feature_names_in_ : ndarray of shape (`n_features_in_`,)
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  Names of features seen during :term:`fit`. Defined only when `X`
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  has feature names that are all strings.
 
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  nout_ : int
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  Number of output dimensions.
 
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  selection_mask_ : list[int] of length `select_k_features`
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  List of indices for input features that are selected when
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  :param`select_k_features` is set.
 
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  tempdir_ : Path
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  Path to the temporary equations directory.
 
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  equation_file_ : str
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  Output equation file name produced by the julia backend.
 
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  raw_julia_state_ : tuple[list[PyCall.jlwrap], PyCall.jlwrap]
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  The state for the julia SymbolicRegression.jl backend post fitting.
 
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  equation_file_contents_ : list[pandas.DataFrame]
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  Contents of the equation file output by the Julia backend.
 
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  show_pickle_warnings_ : bool
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  Whether to show warnings about what attributes can be pickled.
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