Extract: hvplot-0.9.2-py311haa95532_0.conda
Extract: _anaconda_depends-2024.02-py311_mkl_1.conda
Setting up the base environment …
Output folder: C:\Users\NIKHIL-PC\anaconda3\pkgs
Extract: env.txt
Output folder: C:\Users\NIKHIL-PC\anaconda3\conda-meta
Extract: history
Installing packages for base, creating shortcuts if necessary…
Downloading and Extracting Packages: …working… done
Downloading and Extracting Packages: …working… done
Preparing transaction: …working… done
Executing transaction: …working… WARNING conda.core.envs_manager:register_env(55): Unable to register environment. Path not writable or missing.
environment location: C:\Users\NIKHIL-PC\anaconda3
registry file: C:\Users\NIKHIL-PC.conda\environments.txt
Windows 64-bit packages of scikit-learn can be accelerated using scikit-learn-intelex.
More details are available here: https://intel.github.io/scikit-learn-intelex
For example:
$ conda install scikit-learn-intelex
$ python -m sklearnex my_application.py
done
ERROR conda.core.link:_execute(945): An error occurred while installing package ‘defaults::m2-msys2-runtime-2.5.0.17080.65c939c-3’.