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Hello, I would like to use data-camp light to create exercises on machine learning explainability. Would it be possible to add the XAISuite library (https://pypi.org/project/XAISuite/) to the list of installed python packages?
The text was updated successfully, but these errors were encountered:
The Datacamp light platform operates on the basis that every user has their own container or utilizes techniques like sandboxing to ensure the container is secure and protected from unauthorized access. Due to this, we are unable to modify the environment of the container (datacamp light) from our side as Datacamp does not allow us to create our own environment or install the modules we require.
Additionally, while the v3 branch of datacamp light mentions that you can change the Python version or module versions, the default version remains Python 3.5. Unfortunately, Datacamp does not allow us to change the Python version, and even we can only modify the version of modules that are already specified in the backend or container image of the datacamp light container.
Although datacamp light is now outdated, you can create your own service similar to datacamp light by learning about Kubernetes or any container management tool, and creating a Docker image or any container image of your own environment that accepts Python code using an API to run in that environment and return a response in text or even in the form of images for libraries like Matplotlib and Seaborn. For further details, you can refer to Jupyterhub, which provides Jupyterlab with a customizable environment.
While the process of creating a premium service like Datacamp light may be challenging, and costly.
Hello, I would like to use data-camp light to create exercises on machine learning explainability. Would it be possible to add the XAISuite library (https://pypi.org/project/XAISuite/) to the list of installed python packages?
The text was updated successfully, but these errors were encountered: