How Do I Install External Libraries in a Notebook Instance?
Multiple environments such as Jupyter and Python have been integrated into ModelArts notebook to support many frameworks, including TensorFlow, MindSpore, PyTorch, and Spark. You can use pip install to install external libraries in Jupyter Notebook or on the Terminal page.
Installing External Libraries in Jupyter Notebook
You can use JupyterLab to install Shapely in the TensorFlow-1.8 environment.
Installing External Libraries on the Terminal Page
You can use pip to install external libraries in the TensorFlow-1.8 environment on the Terminal page. For example, to install Shapely:
- Open a notebook instance and access the Launcher page.
- In the Other area, click Terminal and create a terminal file.
- Enter the following commands in the code input box to obtain the kernel of the current environment and activate the Python environment on which the installation depends:
source /home/ma-user/anaconda3/bin/activate TensorFlow-1.8
To install TensorFlow in another Python environment, replace TensorFlow-1.8 in the command with the target engine.
Figure 1 Activating the environment
- Run the following command in the code input box to install Shapely:
Environment Configurations FAQs
- How Do I Check the CUDA Version Used by a Notebook Instance?
- How Do I Enable the Terminal Function in DevEnviron of ModelArts?
- How Do I Install External Libraries in a Notebook Instance?
- How Do I Obtain the External IP Address of My Local PC?
- How Can I Resolve Abnormal Font Display on a ModelArts Notebook Accessed from iOS?
- Is There a Proxy for Notebook? How Do I Disable It?
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