Category : generator

I have a function that has a "for" loop that has to iterate through a generator, but, actually, it doesn’t iterate. def join_probabilities(prob_generator, importance): probabilities, count = {}, 0 print(‘Before the "for" loop’) for text_probabilities in prob_generator: print(‘In the "for" loop’) I’ve added 2 prints, but when I run the function, I see only the ..

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My model takes as input 4 arrays and is trained using the standard keras fit function in the following way: model.fit([train[0],train[1],train[2],train[3]], train_labels) These 4 arrays have the same dimension and they are in fact interchangeable. The dictionary ‘train’ is loaded into RAM. To overcome heavy overfitting and improve the performance of the model, I would ..

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I am trying to generate a Set product of two string using generator approach than storing it in a list as follows: def recursive_generator(l_set, index = 0, value = ""): if index == len(l_set): yield(value) else: for i in l_set[index]: recursive_generator(l_set, index + 1, value + i) def main(): _input = ["ab","de"] for i in ..

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Whether it is correct to name function generate_ in python if it is not the generator and does not make yield. I always called function generator_ if it does yild, but didn’t think about generator. looks like generating is not just creating data with generators. Example: def generate_some_data(): return { f'{i}-key’: { ‘k1′: f’some_val_{i}’, ‘k2’: ..

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What am I doing wrong here. Trying to get chunks of a generator using islice, but seems to be running infinitely. from itertools import islice size = 2 def g(): for x in range(11): print("generating: ", x) yield x while True: chunk = islice(g(), size) if not chunk: break print("at chunk") for c in chunk: ..

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