Python ```pipdeptree——反向——包xgboost```——如何解决库不兼容问题

目标

• 我的最终目标是在conda环境中本地运行此项目
• 我在Ubuntu20.04LTS，conda环境，Python3.8上运行这个

输入

Warning!!! Possibly conflicting dependencies found:
* wandb==0.10.4
 - subprocess32 [required: >=3.5.3, installed: ?]
* spyder==4.1.5
 - pyqt5 [required: <5.13, installed: ?]
 - pyqtwebengine [required: <5.13, installed: ?]
* QDarkStyle==2.8.1
 - helpdev [required: >=0.6.10, installed: ?]
* Flask-Compress==1.5.0
 - brotli [required: Any, installed: ?]
* dask-xgboost==0.1.11
 - xgboost [required: <=0.90, installed: 1.2.0]
* dash==1.16.3
 - dash-core-components [required: ==1.12.1, installed: 1.3.1]
 - dash-html-components [required: ==1.1.1, installed: 1.0.1]
 - dash-renderer [required: ==1.8.2, installed: 1.1.2]
 - dash-table [required: ==4.10.1, installed: 4.4.1]
------------------------------------------------------------------------
xgboost==1.2.0
  - dask-xgboost==0.1.11 [requires: xgboost<=0.90]

• 有人建议我运行代码，因为我有库依赖性问题

输出

Warning!!! Possibly conflicting dependencies found:
* wandb==0.10.4
 - subprocess32 [required: >=3.5.3, installed: ?]
* spyder==4.1.5
 - pyqt5 [required: <5.13, installed: ?]
 - pyqtwebengine [required: <5.13, installed: ?]
* QDarkStyle==2.8.1
 - helpdev [required: >=0.6.10, installed: ?]
* Flask-Compress==1.5.0
 - brotli [required: Any, installed: ?]
* dask-xgboost==0.1.11
 - xgboost [required: <=0.90, installed: 1.2.0]
* dash==1.16.3
 - dash-core-components [required: ==1.12.1, installed: 1.3.1]
 - dash-html-components [required: ==1.1.1, installed: 1.0.1]
 - dash-renderer [required: ==1.8.2, installed: 1.1.2]
 - dash-table [required: ==4.10.1, installed: 4.4.1]
------------------------------------------------------------------------
xgboost==1.2.0
  - dask-xgboost==0.1.11 [requires: xgboost<=0.90]

当我在jupyter中运行代码导入时，它会显示

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-1-f5a95d2c9926> in <module>
      3 from dask.distributed import Client
      4 from dask import array as da
----> 5 import xgboost as xgb
      6 from xgboost import dask as dxgb
      7 from xgboost.dask import DaskDMatrix

ModuleNotFoundError: No module named 'xgboost'

---------------------------------------------------------------------------
ModuleNotFoundError回溯（上次最近调用）
在里面
3来自dask.distributed import Client
4从dask导入数组作为da
---->5将xgb作为xgb导入
6从xgboost导入dask作为dxgb
7从xgboost.dask导入DaskDMatrix
ModuleNotFoundError:没有名为“xgboost”的模块

如果您创建了一个新的conda环境，是否会出现相同的错误？例如

conda create -n kaggle_xgboost_test python=3.8 pandas numpy scikit-learn xgboost jupyter
conda activate kaggle_xgboost_test

# Then open a notebook
jupyter-notebook

# And try to import xgboost with e.g.
import xgboost
print("imported ok")

编辑 如果fresh环境安装/导入的xgboost没有任何问题（如您的评论所示），那么您遇到的问题是现有环境所特有的。您是否解决了由

pipdeptree--reverse--packages xgboost

确定的冲突？你试过了吗？例如

---

在其他环境中，这不是问题，但问题是，如果我调用

conda list

，我已经在这里重新安装了xgboost，xgboost是ehre，py xgboost也是，但导入说它不在那里。（我已检查是否使用正确的笔记本url查看正确的环境）。目标将与kaggle项目中的目标一样，获得支持在GPU（Nvidia）上运行的xgboost

conda create -n kaggle_xgboost_test python=3.8 pandas numpy scikit-learn xgboost jupyter
conda activate kaggle_xgboost_test

# Then open a notebook
jupyter-notebook

# And try to import xgboost with e.g.
import xgboost
print("imported ok")

git clone --recursive https://github.com/dmlc/xgboost
cd xgboost
mkdir build
cd build
cmake .. -DUSE_CUDA=ON
make -j4