Pip doesn't manage dependencies the same way conda does and can, potentially, damage one's installation. If you need more information on Anaconda Packages, check the documentation. If one needs to install/update packages, the logic is the same as mentioned in the introduction. $IDE/package/module - The name of the IDE or package or module $ENVIRONMENT NAME - The name of one's environment (if one is working in the root,Ĭonda $command $IDE/package/module is enough) $command - Command that one intends to use ( consult documentation for general commands) Then, in Anaconda Prompt, one needs to run the following conda $command -n $ENVIRONMENT_NAME $IDE/package/module When using Anaconda, one needs to be aware of the environment that one is working. However, consider the last note below before proceeding.
DECOMPOSITION NOTEBOOK HOW TO
If the above doesn't work, on Anaconda Prompt one can also use pip ( here's how to pip install scikit-learn), so the following may help pip install scikit-learn Then the following should solve one's problem: conda install -n ML scikit-learnĬonda install -n ML -c anaconda scikit-learn Let's say that one is working in the environment with the name ML. If one wants to install it in the root and one follows the requirements - (Python ( >= 2.7 or >= 3.4), NumPy ( >= 1.8.2), SciPy ( >= 0.13.3).) - the following should solve the problem conda install scikit-learnĪlternatively, as mentioned here, one can specify the channel as follows conda install -c anaconda scikit-learn
One might want to consider the notes at the end, specially before resorting to the 2nd option. Will leave below two options that may help one solve the problem:
0 kommentar(er)
