8000 rebased with upstream · scikit-learn/scikit-learn@c67fd55 · GitHub
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rebased with upstream
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sklearn/svm/classes.py

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@@ -366,6 +366,7 @@ def fit(self, X, y, sample_weight=None):
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if self.C < 0:
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raise ValueError("Penalty term must be positive; got (C=%r)"
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% self.C)
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X, y = check_X_y(X, y, accept_sparse='csr',
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dtype=np.float64, order="C")
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penalty = 'l2' # SVR only accepts l2 penalty

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