Machine Learning, Python, Julia, Algorithms, R.
np.trace(np.linalg.inv(X_fisher).dot(Y_fisher)) return kernel Here is a code example for implementing the Fisher Kernel Algorithm in Julia: using LinearAlgebra function fisher_kernel(X, Y) # Calculate the Fisher information matrix for X X_params = estimate_parameters(X) X_hessian =