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Update support_vector_machines.py to add the polynomial kernel #12748

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Update support_vector_machines.py to add the polynomial kernel #12748

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0a8a6d4
Update support_vector_machines.py to add the polynomial kernel
faefabsdgd May 14, 2025
190ed5a
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] May 14, 2025
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[pre-commit.ci] auto fixes from pre-commit.com hooks 
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pre-commit-ci[bot] committed May 14, 2025
commit 190ed5a37a79935c55a6c75af5e9a756d05e326b
5 changes: 2 additions & 3 deletions machine_learning/support_vector_machines.py
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Original file line number Diff line number Diff line change
Expand Up @@ -70,7 +70,7 @@ def __init__(
regularization: float = np.inf,
kernel: str = "linear",
gamma: float = 0.0,
degree: float=0.0,
degree: float = 0.0,
coef0: float = 0.0,
) -> None:
self.regularization = regularization
Expand All @@ -93,7 +93,7 @@ def __init__(
elif kernel == "polynomial":
if self.degree == 0:
raise ValueError("polynomial kernel requires degree")
if not isinstance(self.degree, (float, int)) :
if not isinstance(self.degree, (float, int)):
raise ValueError("degree must be float or int")
if not self.degree > 0:
raise ValueError("degree must be > 0")
Expand Down Expand Up @@ -123,7 +123,6 @@ def __rbf(self, vector1: ndarray, vector2: ndarray) -> float:
"""
return np.exp(-(self.gamma * norm_squared(vector1 - vector2)))


def __polynomial(self, vector1: ndarray, vector2: ndarray) -> float:
"""
Polynomial kernel: (x . y + coef0)^degree
Expand Down