ml_privacy_meter
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Add conda recipe
It would be great to have a conda recipe so that it can be included with projects that have more complicated build processes (for example, using libraries that need C/C++ compilers).
I have already made a recipe: https://github.com/conda-forge/staged-recipes/pull/20256
This would auto-updated whenever a new version is pushed to pypi.
I have already made a recipe: conda-forge/staged-recipes#20256
This would auto-updated whenever a new version is pushed to pypi.
Happy to add any other maitainer as needed.
Thank you so much @sarthakpati , for your contribution. We really appreciate it! I will test it and merge the pull request.
Hi @changhongyan123, did you manage to check this PR?
Hi @sarthakpati , I encountered the following issues. Do you have any ideas about solving this issue?
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:
- defaults/osx-64::scikit-learn==0.24.1=py38hb2f4e1b_0
- defaults/osx-64::scikit-image==0.18.1=py38hb2f4e1b_0
- defaults/osx-64::patsy==0.5.1=py38_0
- defaults/osx-64::astropy==4.2.1=py38h9ed2024_1
- defaults/osx-64::anaconda==2021.05=py38_0
- defaults/noarch::seaborn==0.11.1=pyhd3eb1b0_0
- defaults/osx-64::statsmodels==0.12.2=py38h9ed2024_0
2 questions:
- Are you creating a brand new environment?
- Are the package requirements consistent with what you expect for
ml_privacy_meter
? Asking because the conda recipe seems to be consistent with it.
@sarthakpati Thank you for your prompt reply. I solved the problem. Previously, I tested on conda env of version 4.10.3. When testing on conda env 4.12.0, privacy-meter can be installed correctly.
Thank you so much for your contribution :)! I will forward this pull request to the repository admin.
Great!