Module metrics¶
operalib.metrics
define upplementary metrics not
available in scikit-learn
-
operalib.metrics.
first_periodic_kernel
(X, Y=None, gamma=None, period=None)¶ Compute the first periodic kernel between X and Y.
Parameters: X : array of shape (n_samples_X, n_features)
Y : array of shape (n_samples_Y, n_features)
gamma : float, default None
If None, default to 1.0 / n_samples_X
period : float, default None
If None, default to 2 * pi.
This parameter should not be default as wrong estimation lead to poor learning score.
Returns: kernel_matrix : array of shape (n_samples_X, n_samples_Y)