data_iter(batch_size, features,

作者: elementmaster | 来源:发表于2020-03-12 16:01 被阅读0次

defdata_iter(batch_size,features,labels):

num_examples=len(features)

indices=list(range(num_examples))

random.shuffle(indices)

for i in range(0,num_examples,batch_size):

j=nd.array(indices[i:min(i+batch_size,num_examples)])

yield features.take(j),labels.take(j) # take函数根据索引返回对应元素

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data_iter(batch_size, features,