在Anaconda上升级到scikit-learn的开发版本? [英] upgrade to dev version of scikit-learn on Anaconda?

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问题描述

我正在通过Anaconda使用python,并希望使用一项新功能( http://scikit- scikit-learn中的Learn.org/dev/modules/neural_networks_supervised.html ),目前仅在开发版本0.18.dev0中可用.

I'm using python through Anaconda, and would like to use a new feature (http://scikit-learn.org/dev/modules/neural_networks_supervised.html) in scikit-learn that's currently only available in the development version 0.18.dev0.

但是,执行经典的conda update似乎无效,因为conda没有列出任何开发包.将开发版本安装到Anaconda的最简单方法是什么? (出于价值,我使用的是64位Windows 7.)

However, doing the classical conda update doesn't seem to work, as conda doesn't list any dev packages. What would be the simplest way to install a development version into my Anaconda? (For what it's worth, I'm using 64-bit windows 7.)

推荐答案

如果有人为该软件包生成了二进制文件并提供了可用的二进制文件,则只能使用conda安装软件包.有些软件包会每晚发布一些版本,但允许这样做,但是scikit-learn并不是其中之一.

You can only use conda to install a package if someone has built and made available binaries for the package. Some packages publish nightly builds that would allow this, but scikit-learn is not one of them.

要在一个命令中安装最新版本,可以使用pip;例如:

To install the bleeding-edge version in one command, you could use pip; e.g.:

$ conda install pip
$ pip install git+git://github.com/scikit-learn/scikit-learn.git

但是请记住,这需要编译库中的所有C扩展,因此如果您的系统没有为此设置,它将失败.

but keep in mind that this requires compiling all the C extensions within the library, and so it will fail if your system is not set up for that.

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