sklearn.metrics.pairwise
.polynomial_kernel¶
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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:
K(X, Y) = (gamma <X, Y> + coef0)^degree
Read more in the User Guide.
- Parameters
- Xndarray of shape (n_samples_1, n_features)
- Yndarray of shape (n_samples_2, n_features)
- degreeint, default 3
- gammafloat, default None
if None, defaults to 1.0 / n_features
- coef0float, default 1
- Returns
- Gram matrixarray of shape (n_samples_1, n_samples_2)