@@ -9,8 +9,6 @@ There are different ways to get scikit-learn installed:
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* :ref: `Install the latest official release <install_official_release >`. This
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is the best approach for most users. It will provide a stable version
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and pre-build packages are available for most platforms.
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- Note that :ref: `nightly builds <install_nightly_builds >` are also
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- distributed.
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* Install the version of scikit-learn provided by your
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:ref: `operating system or Python distribution <install_by_distribution >`.
@@ -90,22 +88,6 @@ it as ``scikit-learn[alldeps]``.
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For installing on PyPy, PyPy3-v5.10+, Numpy 1.14.0+, and scipy 1.1.0+
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are required.
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- .. _install_nightly_builds :
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- Installing nightly builds
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- =========================
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- The continuous integration servers of the scikit-learn project build, test
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- and upload wheel packages for the most recent Python version on a nightly
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- basis to help users test bleeding edge features or bug fixes::
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-
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- pip install --pre -f https://sklearn-nightly.scdn8.secure.raxcdn.com scikit-learn
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-
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- Again, in order to avoid any OS dependent issue it is strongly
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- recommended to use python3 ``virtualenv ``
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- (see `python3 virtualenv documentation
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- <https://docs.python.org/3/tutorial/venv.html> `_).
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-
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.. _install_by_distribution :
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Third party distributions of scikit-learn
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