【问题标题】：How to install HyperOpt-Sklearn library in Google Collab?如何在 Google Collab 中安装 HyperOpt-Sklearn 库？
【发布时间】：2021-02-02 12:10:27
【问题描述】：
每次我尝试在 Google Collab 中安装 HyperOpt-Sklearn 库时，都会收到以下错误：
fatal: destination path 'hyperopt-sklearn' already exists and is not an empty directory.
/bin/bash: line 0: cd: hyperopt: No such file or directory
ERROR: File "setup.py" not found. Directory cannot be installed in editable mode: /content
不知道为什么我在这个库而不是其他库中出现错误。
我使用他们在其网站上建议的安装代码：
!git clone https://github.com/hyperopt/hyperopt-sklearn.git
!cd hyperopt
!pip install -e .
【问题讨论】：
标签：
python
pip
google-colaboratory
hyperopt
【解决方案1】：
虽然在他们的文档中没有提到，但事实证明该软件包可在PyPi 获得，并且可以通过pip 简单地安装；以下是在 Google Colab 笔记本中运行的：
!pip install hpsklearn
Collecting hpsklearn
Downloading https://files.pythonhosted.org/packages/ce/cb/61b99f73621e2692abd0e730f7888a9983d01f626868336fa1db1d57bc1e/hpsklearn-0.1.0.tar.gz
Requirement already satisfied: hyperopt in /usr/local/lib/python3.6/dist-packages (from hpsklearn) (0.1.2)
Collecting nose
Downloading https://files.pythonhosted.org/packages/15/d8/dd071918c040f50fa1cf80da16423af51ff8ce4a0f2399b7bf8de45ac3d9/nose-1.3.7-py3-none-any.whl (154kB)
|████████████████████████████████| 163kB 5.3MB/s
Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from hpsklearn) (1.18.5)
Requirement already satisfied: scikit-learn in /usr/local/lib/python3.6/dist-packages (from hpsklearn) (0.22.2.post1)
Requirement already satisfied: scipy in /usr/local/lib/python3.6/dist-packages (from hpsklearn) (1.4.1)
Requirement already satisfied: networkx in /usr/local/lib/python3.6/dist-packages (from hyperopt->hpsklearn) (2.5)
Requirement already satisfied: future in /usr/local/lib/python3.6/dist-packages (from hyperopt->hpsklearn) (0.16.0)
Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from hyperopt->hpsklearn) (1.15.0)
Requirement already satisfied: pymongo in /usr/local/lib/python3.6/dist-packages (from hyperopt->hpsklearn) (3.11.0)
Requirement already satisfied: tqdm in /usr/local/lib/python3.6/dist-packages (from hyperopt->hpsklearn) (4.41.1)
Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.6/dist-packages (from scikit-learn->hpsklearn) (0.16.0)
Requirement already satisfied: decorator>=4.3.0 in /usr/local/lib/python3.6/dist-packages (from networkx->hyperopt->hpsklearn) (4.4.2)
Building wheels for collected packages: hpsklearn
Building wheel for hpsklearn (setup.py) ... done
Created wheel for hpsklearn: filename=hpsklearn-0.1.0-cp36-none-any.whl size=23915 sha256=44744a68278f221b86c4e3e98ca5671bce66901893dfb93af1844e01dbc7b03f
Stored in directory: /root/.cache/pip/wheels/41/ee/c4/3c267cbf78f0905434ee36b915d97a20610ad3af7ff3c75852
Successfully built hpsklearn
Installing collected packages: nose, hpsklearn
Successfully installed hpsklearn-0.1.0 nose-1.3.7