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MilesCranmer
commited on
Commit
•
ad6d652
1
Parent(s):
e5a9067
Fix custom variable names
Browse files- pysr/sr.py +11 -10
pysr/sr.py
CHANGED
@@ -997,10 +997,10 @@ class PySRRegressor(MultiOutputMixin, RegressorMixin, BaseEstimator):
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model.n_features_in_ = n_features_in
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if feature_names_in is None:
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-
model.feature_names_in_ = [f"x{i}" for i in range(n_features_in)]
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-
model.pretty_feature_names_in_ =
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-
f"x{_subscriptify(i)}" for i in range(n_features_in)
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-
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else:
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assert len(feature_names_in) == n_features_in
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model.feature_names_in_ = feature_names_in
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@@ -1395,10 +1395,10 @@ class PySRRegressor(MultiOutputMixin, RegressorMixin, BaseEstimator):
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)
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if self.feature_names_in_ is None:
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-
self.feature_names_in_ = [f"x{i}" for i in range(X.shape[1])]
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-
self.pretty_feature_names_in_ =
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-
f"x{_subscriptify(i)}" for i in range(X.shape[1])
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-
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else:
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self.pretty_feature_names_in_ = None
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@@ -1474,6 +1474,7 @@ class PySRRegressor(MultiOutputMixin, RegressorMixin, BaseEstimator):
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X, y = self._validate_data(X=X, y=y, reset=True, multi_output=True)
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# Update feature names with selected variable names
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self.feature_names_in_ = _check_feature_names_in(self, variable_names)
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print(f"Using features {self.feature_names_in_}")
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# Denoising transformation
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@@ -1724,9 +1725,9 @@ class PySRRegressor(MultiOutputMixin, RegressorMixin, BaseEstimator):
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weights=Main.weights,
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niterations=int(self.niterations),
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variable_names=(
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-
self.pretty_feature_names_in_
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if self.pretty_feature_names_in_ is not None
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-
else self.feature_names_in_
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),
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options=options,
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numprocs=cprocs,
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model.n_features_in_ = n_features_in
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if feature_names_in is None:
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+
model.feature_names_in_ = np.array([f"x{i}" for i in range(n_features_in)])
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+
model.pretty_feature_names_in_ = np.array(
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+
[f"x{_subscriptify(i)}" for i in range(n_features_in)]
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+
)
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else:
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assert len(feature_names_in) == n_features_in
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model.feature_names_in_ = feature_names_in
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)
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if self.feature_names_in_ is None:
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+
self.feature_names_in_ = np.array([f"x{i}" for i in range(X.shape[1])])
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+
self.pretty_feature_names_in_ = np.array(
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+
[f"x{_subscriptify(i)}" for i in range(X.shape[1])]
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+
)
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else:
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self.pretty_feature_names_in_ = None
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X, y = self._validate_data(X=X, y=y, reset=True, multi_output=True)
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# Update feature names with selected variable names
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self.feature_names_in_ = _check_feature_names_in(self, variable_names)
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+
self.pretty_feature_names_in_ = None
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print(f"Using features {self.feature_names_in_}")
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# Denoising transformation
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weights=Main.weights,
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niterations=int(self.niterations),
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variable_names=(
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+
self.pretty_feature_names_in_.tolist()
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if self.pretty_feature_names_in_ is not None
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+
else self.feature_names_in_.tolist()
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),
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options=options,
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numprocs=cprocs,
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