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change installation description to not discourage people from installing scipy or numpy with pip.
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doc/install.rst

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@@ -28,15 +28,13 @@ or ``conda``::
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conda install scikit-learn
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**We don't recommend installing scipy or numpy using pip on linux**,
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as this will involve a lengthy build-process with many dependencies.
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Without careful configuration, building numpy yourself can lead to an installation
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that is much slower than it should be.
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If you are using Linux, consider using your package manager to install
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scikit-learn. It is usually the easiest way, but might not provide the newest
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version.
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If you haven't already installed numpy and scipy and can't install them via
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your operation system, it is recommended to use a third party distribution.
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If you have not installed NumPy or SciPy yet, you can also install these using
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conda or pip. When using pip, please ensure that *binary wheels* are used,
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and NumPy and SciPy are not recompiled from source, which can happen when using
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particular configurations of operating system and hardware (such as Linux on
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a Raspberry Pi). We don't recommend installing numpy or scipy from source.
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Instead, use a thrid-party distribution as described below.
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Third-party Distributions
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==========================

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