我嘗試使用scipy library提供的分類算法，但遇到以下錯誤：score = clf.score(X_test, y_test)

File "/usr/local/lib/python3.5/dist-packages/sklearn/base.py", line 349, in score

return accuracy_score(y, self.predict(X), sample_weight=sample_weight)

File "/usr/local/lib/python3.5/dist-packages/sklearn/neighbors/classification.py", line 145, in predict

neigh_dist, neigh_ind = self.kneighbors(X)

File "/usr/local/lib/python3.5/dist-packages/sklearn/neighbors/base.py", line 353, in kneighbors

n_jobs=n_jobs, squared=True)

File "/usr/local/lib/python3.5/dist-packages/sklearn/metrics/pairwise.py", line 1240, in pairwise_distances

return _parallel_pairwise(X, Y, func, n_jobs, **kwds)

File "/usr/local/lib/python3.5/dist-packages/sklearn/metrics/pairwise.py", line 1083, in _parallel_pairwise

return func(X, Y, **kwds)

File "/usr/local/lib/python3.5/dist-packages/sklearn/metrics/pairwise.py", line 245, in euclidean_distances

distances = safe_sparse_dot(X, Y.T, dense_output=True)

File "/usr/local/lib/python3.5/dist-packages/sklearn/utils/extmath.py", line 186, in safe_sparse_dot

ret = ret.toarray()

File "/usr/lib/python3/dist-packages/scipy/sparse/compressed.py", line 940, in toarray

return self.tocoo(copy=False).toarray(order=order, out=out)

File "/usr/lib/python3/dist-packages/scipy/sparse/coo.py", line 250, in toarray

B = self._process_toarray_args(order, out)

File "/usr/lib/python3/dist-packages/scipy/sparse/base.py", line 817, in _process_toarray_args

return np.zeros(self.shape, dtype=self.dtype, order=order)

MemoryError

問題是我沒有得到這個錯誤，但是突然，我總是得到這個錯誤。我也在運行python3(64位版本)，當我遇到這個錯誤時，我的RAM(8GB)被占用了30%。在

有人知道我怎么解決這個問題嗎？在

總結

以上是生活随笔為你收集整理的python的scipy库无法使用_scipy库内存错误的全部內容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯，歡迎將生活随笔推薦給好友。