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MilesCranmer
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f82dcf5
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Parent(s):
bb3bc5e
Fix parts of docstring
Browse files- 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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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)`,
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@@ -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.
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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
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