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Looks good to me, can you please add some documentation (with the screen shot you have in the PR description) under dev_guide explaining your motivation and steps to follow.
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Sure, will update docs in this PR |
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@jainr I updated dev guide, pls help review, thx |
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@YihuiGuo thanks for the PR, can you elaborate on the use case there? Like when would users need this image? |
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Which version of the Feathr client is integrated in this image? Can it be directly used in Jupyter notebook or users still need to install it by themselves? |
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This image is built for feathr developers, make them able to create ephemeral and independent environment with feathr installed, and with powerful IDE ready to use. |
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It is using latest version of feathr . Tested locally, feathr client can be directly used in notebook created by JupyterLab. |
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* build docker image for feathr * Add docker guidance to dev guide
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This PR builds a docker image with feathr installed, and vscode server / Jupyter lab integrated.
To build the docker image, navigate to feathr root folder ,

To start the docker, you need to specify the port mapping.
8080: vscode server
9090: jupyter lab
credential for jupyter lab and code server is "feathr"

