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Does removing [0] from the this line best_der_idx = np.argmax(derivatives[n_skip_beginning:-n_skip_end])[0] from get_best_lr method work? I tried and I didn't get any errors. Will it still return the best learning rate?
How to use get_best_lr method from the class LRFinder
I tried
I got the following error.
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