```pipdeptree --reverse --packages xgboost``` - 如何解决库不兼容问题

Question

目标

我的最终目标是在 conda 环境中运行这个 kaggle 本地项目。
我运行在 Ubuntu 20.04 LTS，conda 环境，python 3.8

输入

我被推荐给运行 this 代码，因为我有库依赖性问题。

pipdeptree --reverse --packages xgboost

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]

更新

现在我已经重新安装了 XGBoost 并且

conda install -c conda-forge xgboost

当我运行在 jupyter 中导入我的代码时，它说

---------------------------------------------------------------------------
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'

Answer 1

如果你创建一个新的 conda 环境，你会得到同样的错误吗？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

如果新环境 installed/imported xgboost 没有任何问题（如您的评论所暗示），那么您遇到的问题是您现有环境所特有的。您是否解决了 pipdeptree --reverse --packages xgboost 确定的冲突？你试过building xgboost from source with GPU support enabled了吗？例如

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

```pipdeptree --reverse --packages xgboost``` - 如何解决库不兼容问题

```pipdeptree --reverse --packages xgboost``` - how to resovle library incompatibility

python

anaconda

conda

xgboost

kaggle

编辑