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Simplify delivery and interfacing #111
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Hi @mstrazar , thank you for interest in mmvec! PR raised about setup.py update: #112 Regarding installation, what have you tried so far? The conda installation has TF pinned. Regarding Docker containers - we actually have them, that's what is running on the backend of GNPS. @mwang87 are there tutorials on how to pull down these Docker containers? |
Regarding biom tables as input, there are no plans for passing in csv or tab, due to their inability to adequately represent sparse data. Furthermore, biom is also a standard file format, and is a core component of this library. See this paper for more details: https://gigascience.biomedcentral.com/articles/10.1186/2047-217X-1-7 |
Thank you for your feedback. I am keen to try mmvec on our data. Could you point me to a Docker image with mmvec installed, if it exists? I have try installing the software with pip, but it doesn't play well with latest versions of some packages, namely tensorflow and perhaps others. |
Hi @mstrazar , we just cut a new release of mmvec that pins Tensorflow. Let us know if the newest pip install works. @mwang87 has a better idea about the Docker containers. |
Hi, so I managed to pip install mmvec on a Mac OSX by creating a clean virtual environment with Python 3.6.3. Also, one has to specifically pip install numpy first. Previous tries: You might want to fix versions and specify these details in the README. Happy holidays, |
Hi guys,
congratulations for the Nature methods paper on this.
I have a couple of suggestions:
When other labs will try to publish similar methods, they will be expected to compare the results to your method and these will make peoples life easier.
Kind regards,
Martin
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