<p dir="auto">After <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="165650838" data-permission-text="Title is private" data-url="https://github.com/scikit-learn/scikit-learn/issues/6990" data-hovercard-type="pull_request" data-hovercard-url="/scikit-learn/scikit-learn/pull/6990/hovercard" href="https://github.com/scikit-learn/scikit-learn/pull/6990">#6990</a> is merged, we should rephrase the installation docs in terms of pip install on linux. Basically if you're on i386 or x86_64 you can now use binaries. If you're on raspberry pi,  or some other ARM or whatever, the warning still applies. So I think it's fair to now recommend pip install sklearn as the main methods of installation, and add a warning that on non-intel linux that is a bad idea.</p>
<p dir="auto">I think with anylinux it's now fine to install numpy and scipy using pip, so we should remove that sentence from the install documentation. ping <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/GaelVaroquaux/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/GaelVaroquaux">@GaelVaroquaux</a></p>