My package, ScikitLearn.jl, is not yet compatible with the latest scikit-learn library. Is there any way to specify that via Conda.jl? Alternatively, what’s the easiest way to Conda.add("scikit-learn", some_version_number)
? I see the env
argument, but I’m not much of a Python user anymore…
@Albert_Zevelev This is a question that any Python-interoped package faces, with no relation to ML, so I brought back the usage
category
2 Likes
julia> Conda.add("scikit-learn=0.23")
[ Info: Running `conda install -y scikit-learn=0.23` in root environment
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /home/mose/.julia/conda/3
added / updated specs:
- scikit-learn=0.23
The following packages will be downloaded:
package | build
---------------------------|-----------------
scikit-learn-0.23.2 | py37h0573a6f_0 5.0 MB
------------------------------------------------------------
Total: 5.0 MB
The following packages will be DOWNGRADED:
scikit-learn 0.24.1-py37ha9443f7_0 --> 0.23.2-py37h0573a6f_0
Downloading and Extracting Packages
scikit-learn-0.23.2 | 5.0 MB | ############################################################################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
3 Likes