I have an algorithm that uses np.random.uniform I would like to switch to np.random.beta and/or np.random.gamma to improve the efficiency of an approximation. Since the algorithm is already quite time consuming (~8hours) and memory intensive (5 GB per thread) I wanted to check if there was any information on how much this would cost me before I tried a run.
Since it is called inside a loop, should I assume it is not going to change the memory requirements?
What is the difference in run time?
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