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如何在 Google Collab 中安装 HyperOpt-Sklearn 库?

如何在 Google Collab 中安装 HyperOpt-Sklearn 库?

慕桂英546537 2023-12-05 15:31:12
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 directoryERROR: File "setup.py" not found. Directory cannot be installed in editable mode: /content不知道为什么我在这个库中遇到错误,而在其他库中却没有。我使用他们在网站上建议的安装代码:!git clone https://github.com/hyperopt/hyperopt-sklearn.git!cd hyperopt!pip install -e .
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梦里花落0921

TA贡献1772条经验 获得超6个赞

尽管他们的文档中没有提及,但事实证明该软件包在PyPi上可用,并且可以通过简单地安装pip;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


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反对 回复 2023-12-05
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