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undefined symbol in Cython module when using mlpack

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问题 I met the problem "undefined symbol" when using mlpack in Cython. Here is my test case: cdef extern from "<mlpack/core.hpp>" namespace "arma": ctypedef unsigned uword cdef cppclass vec: vec() vec(uword) cdef cppclass mat: mat() mat(uword, uword) void matprint "print" () double& operator() (const uword, const uword) cdef extern from "<mlpack/methods/pca/pca.hpp>" namespace "mlpack::pca": cdef cppclass ExactSVDPolicy: ExactSVDPolicy() cdef cppclass PCA[ExactSVDPolicy]: PCA() void Apply(const

C++机器学习库介绍

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作者|ALAKH SETHI 编译|VK 来源|Analytics Vidhya 介绍我喜欢使用C++。C++是我学习过的第一种编程语言，我喜欢在机器学习中使用它。我在之前写过关于构建机器学习模型的文章。我收到了一个回复，问我C++有没有机器学习的库？这是个公平的问题。像Python和R这样的语言有大量的包和库来满足不同的机器学习任务。那么C++有没有这样的产品呢？是的，是的！在本文中，我将重点介绍两个这样的C++库，我们也将看到它们都可以运行。目录为什么我们要使用机器学习库？ C++中的机器学习库 SHARK 图书馆 MLPACK库为什么我们要使用机器学习库？这是很多新来者都会遇到的问题。库在机器学习中的重要性是什么？让我试着在这一节解释一下。比如说，经验丰富的专业人士和行业老手已经付出了艰辛的努力，并想出了解决问题的办法。你更愿意使用它，还是愿意花几个小时从头开始重新创建相同的东西？后一种方法通常没有什么意义，尤其是当你在DDL前的工作或学习。我们的机器学习社区最大的优点是已经有很多解决方案以库和包的形式存在。其他一些人，从专家到爱好者，已经做了艰苦的工作，并将解决方案很好地打包在一个库中。这些机器学习库是有效的和优化的，它们经过了多个用例的彻底测试。依靠这些库，我们的学习能力和编写代码，无论是在C++或Python，都是如此的简单和直观。 C+

C++机器学习库介绍

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mlpack nearest neighbor with cosine distance?

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问题 I'd like to use the NeighborSearch class in mlpack to perform KNN classification on some vectors representing documents. I'd like to use Cosine Distance, but I'm having trouble. I think the way to do this is to use the inner-product metric "IPMetric" and specify the CosineDistance kernel... This is what I have: NeighborSearch<NearestNeighborSort, IPMetric<CosineDistance>> nn(X_train); But I get the following compile errors: /usr/include/mlpack/core/tree/hrectbound_impl.hpp:211:15: error:

Conversion between cv::Mat and arma::mat

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问题 I am using OpenCV and also want to add some of cool functions from mlpack, which is using Armadillo matrices. Is there an easy way to convet between cv::Mat and arms::mat? Thanks! 回答1: OpenCV's Mat has a pointer to its data. Armadillo has a constructor that is capable of reading from external data. It's easy to put them together. Remember that Armadillo stores in column-major order, whereas OpenCV uses row-major. I suppose you'll need to add another step for transformation, before or after.

Linking to Armadillo libraries with CMake

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问题 I am trying to install MLPack on windows 8. I configure the CMakeLists.txt file with: set(ARMADILLO_LIBRARY "C:\\Program Files (x86)\\armadillo\\lib") set(ARMADILLO_INCLUDE_DIR "C:\\Program Files (x86)\\armadillo\\include") Then when I ran CMake I had a whole series of warning like these ones: WARNING: Target "mlpack" requests linking to directory "C:\Program Files (x86)\armadillo\lib". Targets may link only to libraries. CMake is dropping the item. In \mlpack-1.0.4\src\mlpack directory I