|
modes = np.array([1/np.prod(cov) for cov in self.cov]) |
In the line:
modes = np.array([1 / np.prod(cov) for cov in self.cov])
it is recommended to use np.multiply.reduce() instead of np.prod():
modes = np.array([1 / np.multiply.reduce(cov) for cov in self.cov])
np.prod() is a wrapper around np.multiply.reduce() and introduces additional overhead such as input validation and type handling. In performance-sensitive calculations, using np.multiply.reduce() results in a shorter execution path and better efficiency while maintaining the same functionality.