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deepsource-autofix[bot]
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048be9c
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Parent(s):
aa8371c
Format code with black
Browse files- pysr/sr.py +0 -2
- pysr/test/test.py +1 -2
pysr/sr.py
CHANGED
@@ -762,7 +762,6 @@ class PySRRegressor(MultiOutputMixin, RegressorMixin, BaseEstimator):
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julia_kwargs=None,
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**kwargs,
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):
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-
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# Hyperparameters
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# - Model search parameters
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self.model_selection = model_selection
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@@ -2123,7 +2122,6 @@ class PySRRegressor(MultiOutputMixin, RegressorMixin, BaseEstimator):
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equation_file_contents = copy.deepcopy(self.equation_file_contents_)
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for output in equation_file_contents:
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-
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scores = []
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lastMSE = None
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lastComplexity = 0
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julia_kwargs=None,
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**kwargs,
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):
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# Hyperparameters
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# - Model search parameters
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self.model_selection = model_selection
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equation_file_contents = copy.deepcopy(self.equation_file_contents_)
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for output in equation_file_contents:
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scores = []
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lastMSE = None
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lastComplexity = 0
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pysr/test/test.py
CHANGED
@@ -243,7 +243,6 @@ class TestPipeline(unittest.TestCase):
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regressor.fit(self.X, y)
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def test_noisy(self):
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-
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y = self.X[:, [0, 1]] ** 2 + self.rstate.randn(self.X.shape[0], 1) * 0.05
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model = PySRRegressor(
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# Test that passing a single operator works:
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@@ -677,7 +676,7 @@ class TestMiscellaneous(unittest.TestCase):
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check_generator = check_estimator(model, generate_only=True)
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exception_messages = []
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-
for
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try:
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with warnings.catch_warnings():
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warnings.simplefilter("ignore")
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regressor.fit(self.X, y)
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def test_noisy(self):
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y = self.X[:, [0, 1]] ** 2 + self.rstate.randn(self.X.shape[0], 1) * 0.05
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model = PySRRegressor(
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# Test that passing a single operator works:
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check_generator = check_estimator(model, generate_only=True)
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exception_messages = []
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+
for _, check in check_generator:
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try:
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with warnings.catch_warnings():
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warnings.simplefilter("ignore")
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