在jupyter删去路径/home/featurize/work/Classification/imageClassification下的.ipynb_checkpoints文件夹
时间: 2023-06-05 16:05:48 浏览: 167
我理解你的问题是关于如何删除文件夹下的.ipynb_checkpoints文件夹。如果你使用Linux操作系统,可以在终端中输入命令:rm -rf /home/featurize/work/Classification/imageClassification/.ipynb_checkpoints。这将删除文件夹下的所有.ipynb_checkpoints文件夹。但是请注意,删除文件夹下的文件或文件夹需要谨慎操作,建议在操作之前备份重要数据。
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api.add_resource(Classification, '/classification')
This line of code creates a resource called "Classification" and maps it to the endpoint '/classification' using the Flask-RESTful API. This means that when a client sends a request to the '/classification' endpoint, the API will use the methods defined in the "Classification" resource to handle the request and return a response.
git clone https://github.com/wvangansbeke/Unsupervised-Classification.git cd Unsupervised-Classification
好的,这是一个在命令行中执行的指令,意思是先使用Git工具将名为Unsupervised-Classification的仓库从GitHub上克隆到本地计算机上,克隆的命令为 `git clone https://github.com/wvangansbeke/Unsupervised-Classification.git`。然后,使用 `cd` 命令进入到这个仓库所在的本地目录,命令为 `cd Unsupervised-Classification`。这个过程需要先安装Git工具,并在命令行中运行这些命令。
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