Better to use virtualenv
pip install -U scikit-learn
In order to check your installation you can use
python -m pip show scikit-learn # to see which version and where scikit-learn is installed
python -m pip freeze # to see all packages installed in the active virtualenv
python -c "import sklearn; sklearn.show_versions()"
These are some of the outputs
python -m pip show scikit-learn
Name: scikit-learn
Version: 1.2.2
Summary: A set of python modules for machine learning and data mining
Home-page: http://scikit-learn.org
Author: None
Author-email: None
License: new BSD
Location: /Users/userrm/Documents/RR/projects/POCs/AIBot/BW2/server/venv/lib/python3.8/site-packages
Requires: threadpoolctl, scipy, numpy, joblib
Required-by:
python -m pip freeze
bidict==0.22.1
click==8.1.3
Flask==2.2.3
Flask-SocketIO==5.3.3
importlib-metadata==6.1.0
itsdangerous==2.1.2
Jinja2==3.1.2
joblib==1.2.0
MarkupSafe==2.1.2
numpy==1.24.2
pandas==1.5.3
python-dateutil==2.8.2
python-engineio==4.4.0
python-socketio==5.8.0
pytz==2023.2
scikit-learn==1.2.2
scipy==1.10.1
six==1.16.0
threadpoolctl==3.1.0
Werkzeug==2.2.3
zipp==3.15.0
references:
https://scikit-learn.org/stable/install.html
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