distances = sqDistances**0.5#开方,计算欧氏距离 sortedDistIndicies = distances.argsort() #对距离排序 classCount={} #建立空字典,类别字典,保存各类别的数目 for i in range(k): #寻找k个最近邻 voteIlabel = labels[sortedDistIndicies[i]]#先找出开方结果索引
vector= ['0','1','0','0'] print(dtree.predict(mytree, labels, vector))
二维数组一样,只不过传入的是2个数组,两个数组必须是一维的,关于二维的可以看下面判断操作的例子 vector = np.array([1, 2, 3, 4]) sun_v = vector[0:3] sun_v2 = vector[[False, True, False, False]] sun_v22 = vector[[0, 1, 0]] print(sun_v) print(sun_v2) print(sun_v22) matri...
std::vector<std::string> data({"c", "b", "a"}); std::vector<std::size_t> order = sz::sorted_order(data); //< Simple shortcut // Or, taking care of memory allocation: sz::sorted_order(data.begin(), data.end(), order.data(), [](auto const &x) -> sz::string_view ...
#include<pybind11/pybind11.h>#include<pybind11/stl.h>#include<pybind11/numpy.h>#include<vector>usingstd::vector;namespacepy=pybind11;py::array_t<int>add(py::array_t<int>a_h,py::array_t<int>b_h); 2、sum_arrays.cu:两个整数数组相加 ...
Using c-TF-IDF we can even perform semi-supervised modeling directly without the need for a predictive model. We start by creating a c-TF-IDF matrix for the train data. The result is a vector per class which should represent the content of that class. Finally, we check, for previously ...
printf("\n[NOTE: In given python code: np.argsort returns the indices of sorted array, but not the values itself]"); printf("\n\nThe amplitude and frequency have been written in the file fft_plot.txt"); } int main() { char *infilename; SNDFILE *file = NULL; SF_INFO sfinfo;...
Vector.ctypes.data_as(ct.POINTER(ct.c_double)), XBNODE.Master.ctypes.data_as(ct.POINTER(ct.c_int)), XBNODE.Vdof.ctypes.data_as(ct.POINTER(ct.c_int)), XBNODE.Fdof.ctypes.data_as(ct.POINTER(ct.c_int)), PosIni.ctypes.data_as(ct.POINTER(ct.c_double)), PsiIni.ctypes.data_as...
In [4]: %timeit np.argsort(a) 86.1 ms ± 1.59 ms per loop (mean ± std. dev. of 7 runs, 10 loops each) 这里有一个C程序执行相同的过程,但是在引用this answer的向量上. #include <iostream> #include <vector> #include <cstddef> ...
最近答主开学研一开始上数值分析。因此打算把课程代码重写一遍,供后来的学弟学妹们参考学习。 我基本上都以函数形式写的,大家直接按要求调用即可。不懂可以评论留言 首先是一个计算函数计算时间的函数: deftimefn(fn):#统计函数计算时间的"""计算性能的修饰器"""@wraps(fn)defmeasure_time(*args,**kwargs):t1...