Comments (12)
Thanks for jumping in with the helpful advice @MohamedElashri to help out 🙂
We have also started to update the libraries and tools in this branch; the light
and minimal
versions are buildable with that and they look good so far. Next step is updating & building the full version (see the runbook). We will post an update here as soon as we have pushed the new images.
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You can edit the Dockerfile
with the updated versions of stuff (if a specific version is given) and then build the image. Then hopefully you will get updated version out of box. Unless some bugs occur with one of the updated libs/apps.
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@raethlein Do you intend to update either the R or Spark flavors as well? Definitely interested. Thank you for your work!
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Does anyone here know how the tensorflow version is set? I was thinking of seeing if I could update to 2.7. Is it part of the miniconda version? (And ideally, I'd switch to miniforge.)
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This issue is stale because it has been open 90 days with no activity. Remove stale label or comment or this will be closed in 14 days
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This issue is stale because it has been open 90 days with no activity. Remove stale label or comment or this will be closed in 14 days
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Can anyone provide on information as to if/when this will be addressed?
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Up vote on this.
Is there any update recently ?
MlWorkspace is really a good tool for my usage
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You should just use jupyterlab or code-server and install all extensions or libraries you need over there.
Its been too long since the last update that it might even represent secruity issues and you are missing out on new features because of old dependencies.
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You should just use jupyterlab or code-server and install all extensions or libraries you need over there.
Its been too long since the last update that it might even represent secruity issues and you are missing out on new features because of old dependencies.
Better, you can update all tools and packages used in Dockerfile and keep using ml-workspace.
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But ml-workspace requires node 14.
Mind sharing your Dockerfile if you think its so easy to update every dependency?
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But ml-workspace requires node 14.
Mind sharing your Dockerfile if you think its so easy to update every dependency?
I guess the docker file is here in their repo.
Im building my ubuntu test env soon and I will try rebuild this dockerfile to see if it is up to date
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Related Issues (20)
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- How to install CUDA 11 or later? (Currently installed as 10.1) HOT 1
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