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rodrigo-arenas / Sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.
https://sklearn-genetic-opt.readthedocs.io
MIT License
286 stars 73 forks source link

[FEATURE] Conda package #112

Closed abianco88 closed 1 year ago

abianco88 commented 1 year ago

Is your feature request related to a problem? Please describe. May I ask if there are plans to release a conda package in the near future?

I want to use this package within a project whose virtual environment is created with conda and all installed packages are also from conda/conda-forge. I have pip installed in the environment and tried to install sklearn-genetic-opt via pip as stated in the docs (pip install sklearn-genetic-opt). pip identified the dependencies and installed them (deap, numpy, etc.). The problem though is that it doesn't integrate well with the environment. For instance, I have pandas 1.5.0 installed in the conda environment, but when I open a Python session and run import sklearn_genetic, the interpreter returns me an error claiming that pandas is not installed.

Describe the solution you'd expect The package would be easier to use if it were possible to install it within conda.

Additional context Everything I reported refers to a Windows 10 21H2 machine.

rodrigo-arenas commented 1 year ago

Hi @abianco88 I've it in mind, I'll probably add this for the next release

abianco88 commented 1 year ago

That would be cool. Do you have in mind a timeline for the next release?

rodrigo-arenas commented 1 year ago

This has been added to the conda-forge project, it will be available once the PR is merged https://github.com/conda-forge/staged-recipes/pull/22423