python3.8中sklearn問題（win10）及pip 安裝sklearn

小編在第一次裝sklearn庫時，發(fā)生了

import error cannot import name ‘__check_build’ from partially initialized module 'sklear的報錯

在網(wǎng)上也找了很多答案，發(fā)現(xiàn)都不是很適合自己。

反而越搞越麻煩，下面小編來介紹一下本小編的解決辦法。(小編的操作環(huán)境是win10，python3.8)

解決辦法

1、在cmd中一個一個刪除python中的numpy、scipy、matplotlib、sklearn、scikit-learn庫。

操作辦法如下。

pip uninstall numpy
pip uninstall scipy
pip uninstall matplotlib
pip uninstall sklearn
pip uninstall scikit-learn

在cmd中操作（有Anaconda3的就在Anaconda Prompt中進行），要一個一個來，不要急。

2、然后再重新裝numpy、scipy、matplotlib、sklearn、scikit-learn庫。

安裝順序最好和小編一樣。

一般不用當心版本問題，因為3.8是目前最新的，他回給你自動裝適合你版本的。

不用你去https://www.lfd.uci.edu/~gohlke/pythonlibs/#scikit-learn

中去找sklearn等等庫，并且那里下載速度如龜爬，如果你有VPN的話結(jié)果可能就不一樣。

pip install --index-url https://mirrors.aliyun.com/pypi/simple/ numpy
pip install --index-url https://mirrors.aliyun.com/pypi/simple/ scipy
pip install --index-url https://mirrors.aliyun.com/pypi/simple/ matplotlib
pip install --index-url https://mirrors.aliyun.com/pypi/simple/ sklearn

如果直接用pip install numpy 的辦法，很容易出現(xiàn)time out的時間超時報錯并且速度又慢，我這里是用阿里云的鏡像，速度剛剛的。

3、就這樣就ok了，你可以重啟一下編輯器試試看。

一個sklearn和tensorflow的bug

bug如下

“/usr/local/lib/python3.8/site-packages/sklearn/__check_build/init.py”, line 44, in
from ._check_build import check_build # noqa
ImportError: dlopen: cannot load any more object with static TLS

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File “CNN-meme-motifs.py”, line 5, in
import lib.graphprot_dataloader
File “/home/RNAonGraph/lib/graphprot_dataloader.py”, line 7, in
from sklearn.model_selection import KFold
File “/usr/local/lib/python3.8/site-packages/sklearn/init.py”, line 81, in
from . import __check_build # noqa: F401
File “/usr/local/lib/python3.8/site-packages/sklearn/__check_build/init.py”, line 46, in
raise_build_error(e)
File “/usr/local/lib/python3.8/site-packages/sklearn/__check_build/init.py”, line 31, in raise_build_error
raise ImportError("""%s
ImportError: dlopen: cannot load any more object with static TLS

Contents of /usr/local/lib/python3.8/site-packages/sklearn/_check_build:
check_build.cpython-38-x86_64-linux-gnu.so__pycache init.py
setup.py

It seems that scikit-learn has not been built correctly.

If you have installed scikit-learn from source, please do not forget
to build the package before using it: run python setup.py install or
make in the source directory.

If you have used an installer, please check that it is suited for your
Python version, your operating system and your platform.

源代碼

import os
os.environ[‘TF_CPP_MIN_LOG_LEVEL'] = ‘3'
import numpy as np
import tensorflow as tf
import lib.graphprot_dataloader
from Model.Joint_MRT import JMRT
from lib.general_utils import Pool
import multiprocessing as mp
import matplotlib.pyplot as plt
import subprocess

bug原因及修復

原因暫時難以解釋，解決辦法是調(diào)整tensorflow和sklearn的import順序

總結(jié)

以上為個人經(jīng)驗，希望能給大家一個參考，也希望大家多多支持腳本之家。

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