Minimum version of Scikit-learn dependencies are listed below along with its Matplotlib and some examples require scikit-image, pandas, or seaborn. 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 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 In Anaconda Prompt or Linux / macOS Terminal run conda init and restart the application.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()" Again, there are some solutions:Ĭreate light-weight environments with Miniconda.Ĭlean tarballs an unnecessary package installation files with Anaconda Prompt or Linux / macOS Terminal:Īggressive cleanup: conda clean -all (read more in the developer’s docs). Every new environment that is produced can take the same size and multiple conda environments may jam your hard disk. The Anaconda base environment comes with many pre-installed packages and can be very storage intensive in the order of many gigabytes. Re-install PyQt5 from Anaconda Prompt (or Linux / macOS Terminal): Update conda and Anaconda Navigator from Anaconda Prompt (or Linux / macOS Terminal) as root: Then, close and re-open Anaconda Prompt (or Terminal). Re-initialize conda from Anaconda Prompt (or Linux / macOS Terminal) by running conda init. Other, bug-fixes, not listed on the above-metioned developer’s website are: Reset Anaconda Navigator configuration from Anaconda Prompt (or Linux / macOS Terminal) by running anaconda-navigator -reset (caution: this may be destructive). Re-install Anaconda Navigator from Anaconda Prompt (or Linux / macOS Terminal) by running: Update Anaconda Navigator from Anaconda Prompt (or Linux / macOS Terminal) by entering conda update anaconda-navigator Linux / macOS: Open Terminal and run rm -rf ~/.continuum Windows: Open Anaconda Prompt and run rd /s. Try to launch Anaconda Navigator from Anaconda Prompt (or Linux / macOS Terminal) by entering anaconda-navigator.įix perfmission issues by deleting the. Open the indicated directory (e.g., in Windows explorer), condarc file is located (on Windows typically C:\Users\Username), To do that, open Anaconda Prompt (on Windows) or Terminal (on Linux or macOS) and enter:Ĭonda info to learn where the. The most common problems for Anaconda not starting up are listed in the developer’s docs and include:ĭelete a potentially corrupted. Wait until conflicts are parsed (and solved) Make sure to close all Python-dependent applications (e.g., Jupyter or P圜harm) before installing. Phenomenon: Installation of a Python library or package through Anaconda Prompt fails.įix: Several reason may cause that installing new packages fails in Anaconda Prompt or Linux / macOS Terminal: Geospatial Open Source Python LibrariesĬonda config - set channel_priority strict Conda package installation fails #.Reservoir Volume (Sequent Peak Algorithm).1d Hydraulics (Manning-Strickler Formula).Integrated Development Environments (IDEs).
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