SKlearn导入MLPClassifier失败 [英] SKlearn import MLPClassifier fails

问题描述

我正在尝试在python中使用scikit-learn中的多层感知器.我的问题是，导入无法正常工作. scikit-learn的所有其他模块运行正常.

I am trying to use the multilayer perceptron from scikit-learn in python. My problem is, that the import is not working. All other modules from scikit-learn are working fine.

from sklearn.neural_network import MLPClassifier

导入错误:无法导入名称MLPClassifier

Import Error: cannot import name MLPClassifier

我正在Visual Studio 2015中使用Python环境Python64位3.4. 我使用以下命令在控制台上安装了sklearn:conda install scikit-learn 我还安装了numpy和pandas.发生上述错误后，我还使用pip install scikit-neuralnetwork安装了 scikit-neuralnetwork . 已安装的scikit-learn版本为0.17.

I'm using the Python Environment Python64-bit 3.4 in Visual Studio 2015. I installed sklearn over the console with: conda install scikit-learn I also installed numpy and pandas. After I had the error above I also installed scikit-neuralnetwork with: pip install scikit-neuralnetwork The installed scikit-learn version is 0.17.

我做错了什么?我是否缺少安装?

What have I done wrong? Am I missing an installation?

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除了tttthomassssss的答案外，我还找到了有关如何为神经元网络安装sknn库的解决方案.我遵循了教程. 请执行以下步骤:

In addition to the answer of tttthomasssss, I found the solution on how to install the sknn library for neuronal networks. I followed this tutorial. Do the following steps:

• pip install scikit-neuralnetwork
• 下载并安装 GCC编译器
• 使用conda install mingw libpython
安装mingw

• pip install scikit-neuralnetwork
• download and install the GCC compiler
• install mingw with conda install mingw libpython

您可以在之后使用 sknn 库.

推荐答案

MLPClassifier在scikit-learn v0.17(截至2015年12月1日)中尚不可用.如果您真的想使用它，可以克隆0.18dev(但是，我不知道该分支当前的稳定性如何.)

MLPClassifier is not yet available in scikit-learn v0.17 (as of 1 Dec 2015). If you really want to use it you could clone 0.18dev (however, I don't know how stable this branch currently is).

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