7 for i in range(m):
8 idx = record[i:] != 0
----> 9 rating_mean[i] = np.mean(rating[i,idx])
10 rating_norm[i,idx] -= rating_mean[i]
11 return rating_norm,rating_mean
IndexError: too many indices for array: array is 2-dimensional, but 3 were indexed
8 idx = record[i:] != 0
----> 9 rating_mean[i] = np.mean(rating[i,idx])
10 rating_norm[i,idx] -= rating_mean[i]
11 return rating_norm,rating_mean
IndexError: too many indices for array: array is 2-dimensional, but 3 were indexed
2021-05-13
最新回答 / 不會寫代碼的小郭i
2.0以上版本把代碼改為：optimizer = tf.compat.v1.train.AdamOptimizer(1e-4)train = optimizer.minimize(loss)
2020-10-10
最新回答 / 慕函數8562618
# 需要將TensorFlow版本設置為1.x%tensorflow_version?1.ximport?tensorflow?as?tftf.__version__
2020-06-29
最贊回答 / 奕帝傳說_夢
summaryMerge=tf.compat.v1.summary.merge_all(); 用這個https://docs.google.com/spreadsheets/d/1FLFJLzg7WNP6JHODX5q8BDgptKafq_slHpnHVbJIteQ/edit#gid=0 遇到問題用上面的網址一個個對照過來——百度了三個小時才解決嗚嗚嗚
2020-06-28
