Using such an isolated environment makes it possible to install a specific Strongly recommended to use a virtual environment (venv) or a conda environment. Version of scikit-learn with pip or conda and its dependencies independently ofĪny previously installed Python packages. In particular under Linux is itĭiscouraged to install pip packages alongside the packages managed by the Note that you should always remember to activate the environment of your choice Package manager of the distribution (apt, dnf, pacman…). Prior to running any Python command whenever you start a new terminal session. 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 If you have not installed NumPy or SciPy yet, you can also install these usingĬonda or pip. Scikit-learn plotting capabilities (i.e., functions start with “plot_”Īnd classes end with “Display”) require Matplotlib. Minimum version of Scikit-learn dependencies are listed below along with its Matplotlib and some examples require scikit-image, pandas, or seaborn.
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