sklearn.metrics.pairwise.polynomial_kernel — scikit-learn 0.20.4 documentation (original) (raw)
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: | 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_features coef0 : float, default 1 |
|---|---|
| Returns: | Gram matrix : array of shape (n_samples_1, n_samples_2) |