MilesCranmer commited on
Commit
f82dcf5
1 Parent(s): bb3bc5e

Fix parts of docstring

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Files changed (1) hide show
  1. pysr/sr.py +2 -3
pysr/sr.py CHANGED
@@ -275,8 +275,7 @@ class PySRRegressor(MultiOutputMixin, RegressorMixin, BaseEstimator):
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  function. Examples of custom written losses include:
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  `myloss(x, y) = abs(x-y)` for non-weighted, or
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  `myloss(x, y, w) = w*abs(x-y)` for weighted.
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-
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- Among the included losses, these are as follows.
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  Regression: `LPDistLoss{P}()`, `L1DistLoss()`,
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  `L2DistLoss()` (mean square), `LogitDistLoss()`,
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  `HuberLoss(d)`, `L1EpsilonInsLoss(ϵ)`, `L2EpsilonInsLoss(ϵ)`,
@@ -318,7 +317,7 @@ class PySRRegressor(MultiOutputMixin, RegressorMixin, BaseEstimator):
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  (requires :param`annealing` to be `True`).
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  annealing : bool, default=True
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- Whether to use annealing. You should (and it is default).
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  early_stop_condition : { float | str }, default=None
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  Stop the search early if this loss is reached. You may also
 
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  function. Examples of custom written losses include:
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  `myloss(x, y) = abs(x-y)` for non-weighted, or
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  `myloss(x, y, w) = w*abs(x-y)` for weighted.
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+ The included losses include:
 
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  Regression: `LPDistLoss{P}()`, `L1DistLoss()`,
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  `L2DistLoss()` (mean square), `LogitDistLoss()`,
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  `HuberLoss(d)`, `L1EpsilonInsLoss(ϵ)`, `L2EpsilonInsLoss(ϵ)`,
 
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  (requires :param`annealing` to be `True`).
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  annealing : bool, default=True
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+ Whether to use annealing.
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  early_stop_condition : { float | str }, default=None
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  Stop the search early if this loss is reached. You may also