deepchem / deepchem/DeepLearningLifeSciences
problems with installation.....
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Description
It has been a real challenge to get this to work, besides the bugs... and still trying.... I write these lines to other people that are trying to get it to work
1.- conda Linux 4.7 has problems and cant install many packages, you have to downgrade to conda 4.6 ( In my case it was deepchem-2.2.0-py37_0.tar.bz2 )
2.- first you need to install conda 4.7 then run this command to downgrade.
conda install conda-4.6.14-py37_0.tar.bz2
3.- then you need to isntall these packages in order.
conda install -c rdkit rdkit
conda install -c conda-forge opencv
conda install -c conda-forge joblib
4.- in my case I isntalled keras-gpu which installs keras and tensorflow-gpu
conda install -c anaconda keras-gpu
5.- then none of the link in https://anaconda.org/deepchem/ works
conda install -c deepchem deepchem-gpu
Collecting package metadata: done
Solving environment: failed
PackagesNotFoundError: The following packages are not available from current channels:
------------------------------------
conda install -c deepchem deepchem
Collecting package metadata: done
Solving environment: failed
PackagesNotFoundError: The following packages are not available from current channels:
6.- does not work either....
conda install -c deepchem -c rdkit -c conda-forge -c omnia deepchem=2.1.0
7.- conda install -c deepchem -c rdkit -c conda-forge -c omnia deepchem=2.2.0 doesn't work for me either !!!!!! this is a real pain in the .....
8.- The only way I got it to work is downaloading this file conda-4.6.14-py37_0.tar.bz2 from https://anaconda.org/deepchem/deepchem/files with this command.
conda install deepchem-2.2.0-py37_0.tar.
the only problem with this approach is that once you do this you break conda environment and cant install many other things.....
9.- I will try to install from source and see.... before I break the conda environment again. I had to install conda like 6 times..... did not worked either....
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Research direction
No repository files or tests are named. Review the installation commands and package links in the issue, then compare them with the project's current installation guidance and supported package versions. Done means the documented setup path is current, reproducible, and no longer directs users to unavailable or environment-breaking packages.
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Assessment
- Tech stack
- anaconda, keras, opencv, tensorflow
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100