首先,要解决PackageNotInstalledError错误,我们需要确定包是否真的没有被安装。这可以通过在终端中运行以下命令来完成: conda list <package_name> 如果这个包没有被安装,那么这个命令将不会返回任何结果。在这种情况下,你可以使用以下命令来安装这个包: conda install <package_name> 如果你已经确定这个包已经被安装,...
更新conda出现:PackageNotInstalledError: Package is not installed in prefix. 的解决 出现这样的问题,执行了这个命令 conda update conda,试了试,并不成功: 后来执行了:conda update --name base conda 执行成功,纪念精彩时刻。 推荐链接 评论可见,查看隐藏内容 本文内容根据网络资料整理,出于传递更多信息之目的,不...
I'd like pip and piplite to check conda list (to see if the package has already been installed from other channels). Alternative Solutions At least indicate that pip is (or has just finished) installing a package. Additional context #8415 is out-of-scope. Code of Conduct I agree to fol...
Usingcmd.exe, the activation and deactivation behavior is inconsistent between environments with and without packages installed. When deactivating an environment that has a package installed, the command-line prefix is the path to the base environment. For empty environments, it is(base). ...
Check the logs for full command output. 8、Ubuntu18.04,pip安装parl库时报错 9、ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.spyder 5.1.5 requires pyqt5<5.13, which ...
Step 1: Clone the pre-install environment in a separate environment. conda create -n aikit-pt -c intel intel-aikit-pytorch Step 2: Activate the respective environment. conda activate aikit-pt Step 3: Update conda update --all Similarly, you can work with other pre-ins...
简介:如何解决 conda install 库时报错:The environment is inconsistent, please check the package plan carefully 在使用conda安装库时,遇到了这样的问题: 无论怎么安装都无法解决上述问题,本着可能是源的问题以及哪一步安装版本的问题,调试了一通后,解决了安装库失败的问题: ...
Check your installed dependenciesforsecurity vulnerabilities:$ pipenv check Install a local setup.py into your virtual environment/Pipfile:$ pipenv install-e.Use a lower-level pip command:$ pipenv run pip freezeCommands:check ChecksforPyUp Safety security vulnerabilities and againstPEP508markers providedi...
Installed package of scikit-learn can be accelerated using scikit-learn-intelex. More details are available here: https://intel.github.io/scikit-learn-intelex For example: $ conda install scikit-learn-intelex $ python -m sklearnex my_application.py ...
If a package you want is located in another channel, such as conda-forge, you can manually specify the channel when installing the package: conda install conda-forge::numpy You can also override the default channels in your .condarc file. For a direct example, seeChannel locations (channels)...