Machine Learning, Python, Julia, Algorithms, R.
(n_samples, n_features) The first set of data. Y : array-like, shape (m_samples, m_features) The second set of data. Returns ------- kernel : float The Fisher Kernel between X and Y. """ # Calculate the Fisher information matrix for X X_params = estimate_parameters(X) X_hessian =