

Scikit-learn plotting capabilities (i.e., functions start with “plot_”Īnd classes end with “Display”) require Matplotlib. Particular configurations of operating system and hardware (such as Linux on When using pip, please ensure that binary wheels are used,Īnd NumPy and SciPy are not recompiled from source, which can happen when using
#Anaconda navigator download macbook install#
If you have not installed NumPy or SciPy yet, you can also install these usingĬonda or pip. Prior to running any Python command whenever you start a new terminal session. Note that you should always remember to activate the environment of your choice Package manager of the distribution (apt, dnf, pacman…). In particular under Linux is itĭiscouraged to install pip packages alongside the packages managed by the Version of scikit-learn with pip or conda and its dependencies independently ofĪny previously installed Python packages.

Using such an isolated environment makes it possible to install a specific Strongly recommended to use a virtual environment (venv) or a conda environment.

Note that in order to avoid potential conflicts with other packages it is (this is my answer for which is a similar issue)īeta Was this translation helpful? Give feedback.Python3 -m pip show scikit-learn # to see which version and where scikit-learn is installed python3 -m pip freeze # to see all packages installed in the active virtualenv python3 -c "import sklearn sklearn.show_versions()" 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()" 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()" 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()" conda list scikit-learn # to see which scikit-learn version is installed conda list # to see all packages installed in the active conda environment python -c "import sklearn sklearn.show_versions()"
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I am also confused about the fact that blogpost for 2022-05 update states M1 won't support Anaconda Navigator yet - mine works perfectly (both when I installed through GUI as Intel, and now through terminal as Apple Silicon)

Unknown whether kind being Apple Silicon means I can't use packages that lack an ARM version. I just tried to test it but I don't have perms to create the anaconda3 folder within opt, so I will leave it here. Another difference is I installed in Users/myname/anaconda3/ rather than /opt/anaconda3/ which I was doing with GUI. Solution: Use the terminal installer, not GUI. That being said, I had a similar issue using the GUI installer - Anaconda would install as Kind Intel. I don't know about homebrew and have never used it. To be clear, my M1 is my first Apple product and I got it a month ago.
