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sklearn.metrics.pairwise.polynomial_kernel(X, Y=None, degree=3, gamma=None, coef0=1)
[source] -
Compute the polynomial kernel between X and Y:
1K(X, Y)
=
(gamma <X, Y>
+
coef0)^degree
Read more in the User Guide.
Parameters: X : ndarray of shape (n_samples_1, n_features)
Y : ndarray of shape (n_samples_2, n_features)
degree : int, default 3
gamma : float, default None
if None, defaults to 1.0 / n_samples_1
coef0 : int, default 1
Returns: Gram matrix : array of shape (n_samples_1, n_samples_2)
sklearn.metrics.pairwise.polynomial_kernel()
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2025-01-10 15:47:30
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