取消沉重的 python 对象返回错误：EOFError Ran out of input Python

发布于 2025-01-19 07:16:34 字数 598 浏览 4 评论 0原文

我已经制作了一种机器学习算法（RF），并将其保存为泡菜供进一步使用，文件为5GB。当我取消挑剔时，我会得到错误：

reg = pickle.load(f)
EOFError: Ran out of input

这就是我腌制回归的方式（来自Scikit-Learn）

#Pickle
pickle_out = open("D:\\data_for_learning\\Regression.pickle","wb")
pickle.dump(Reg, pickle_out)  #REG is from fit(x,y)
pickle_out.close()

，这就是它的挑战：

pickle_file = "D:\\data_for_learning\\RegressionRandom.pickle"
with open(pickle_file, 'rb') as f:
    reg = pickle.load(f)

我读到我可以意外地覆盖我的数据，但我只运行了一次，并试图尝试按照我写的方式取消挑选它。我可以再次重新运行机器学习部分，但我想知道问题的根源，为什么？我弄乱了腌制吗？

原文

I have made a machine learning algorithm (RF) and saved it as a pickle for further use and the file is 5gb. When I unpickle it I get the error :

reg = pickle.load(f)
EOFError: Ran out of input

This is how I pickled the regression (from scikit-learn)

#Pickle
pickle_out = open("D:\\data_for_learning\\Regression.pickle","wb")
pickle.dump(Reg, pickle_out)  #REG is from fit(x,y)
pickle_out.close()

And this is how unpickle it:

pickle_file = "D:\\data_for_learning\\RegressionRandom.pickle"
with open(pickle_file, 'rb') as f:
    reg = pickle.load(f)

I have read that I could accidentally have overwritten my data but I have run it only once and tried to unpickle it the way I wrote it. I can rerun the machine learning part again but I want to know the source of the problem and why? Did I mess up the pickling?

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