Question

关于kNN这是一个简单的任务，我是pyhton的新手。

# coding=utf-8
from numpy import *
import operator


def createDataSet():
    group = array([[112, 110], [128, 162], [83, 206], [142, 267], [188, 184], [218, 268], [234, 108], [256, 146], [
                  333, 177], [350, 86], [364, 237], [378, 117], [409, 147], [485, 130], [326, 344], [387, 326], [378, 435], [434, 375]])
    labels = [1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3]
    return group, labels


def classify0(inX, dataSet, labels, k):
    dataSetSize = dataSet.shape[0]
    tempSet = array(tile(inX, (dataSetSize, 1)))
    diffMat = tempSet - dataSet
    sqDiffMat = diffMat**2
    sqDistances = sqDiffMat.sum(axis=1)
    distances = sqDistances**0.5
    sortedDistIndices = distances.argsort()

    classCount = {}
    for i in range(k):
        voteLabel = labels[sortedDistIndices[i]]
        classCount[voteLabel] = classCount.get(voteLabel, 0) + 1

    sortedClassCount = sorted(classCount.iteritems(),
                              key=operator.itemgetter(1), reverse=True)
    return sortedClassCount[0][0]

# TRY1
# def with_intput():
#     sample = array(raw_input('Enter you data:'))
#     group, labels = createDataSet()
#     sampleClass = classify0(sample, group, labels, 3)
#     print sampleClass
# with_intput()
# TRY1

# TRY2
# sample = array(raw_input('Enter your sample data:'))
# group, labels = createDataSet()
# sampleClass = classify0(sample, group, labels, 3)
# print sampleClass
# TRY2

有些事情很奇怪。我创建了一个函数名 classify0（），但是如果我在编写代码时调用它（取消注释＃TRY1），或者使用它来进行分配（如果取消注释＃TRT2），它将返回错误当我运行这个文件时。

出现喜欢：

TypeError: ufunc 'subtract' did not contain a loop with signature matching types dtype('S11') dtype('S11') dtype('S11')

以下是TRY1的追溯：

Traceback (most recent call last):
  File "C:\Users\zhongzheng\Desktop\ML_Code\temp2.py", line 39, in <module>
    with_intput()
  File "C:\Users\zhongzheng\Desktop\ML_Code\temp2.py", line 36, in with_intput
    sampleClass = classify0(sample, group, labels, 3)
  File "C:\Users\zhongzheng\Desktop\ML_Code\temp2.py", line 17, in classify0
    diffMat = tempSet - dataSet
TypeError: ufunc 'subtract' did not contain a loop with signature matching types dtype('S11') dtype('S11') dtype('S11')

TRY2的追溯：

Traceback (most recent call last):
  File "C:\Users\zhongzheng\Desktop\ML_Code\temp2.py", line 46, in <module>
    sampleClass = classify0(sample, group, labels, 3)
  File "C:\Users\zhongzheng\Desktop\ML_Code\temp2.py", line 17, in classify0
    diffMat = tempSet - dataSet
TypeError: ufunc 'subtract' did not contain a loop with signature matching types dtype('S11') dtype('S11') dtype('S11')

但是如果我保存文件而不取消注释TRT1或TRY2，保存并运行只包含两个函数的文件，然后在cmd或ipython中以交互模式逐行输入这些命令：

>>>group,labels = createDataSet()
>>>sampleClass = classify0(array([111,111]), group, labels, 3)
>>>print sampleClass

它会正常工作。

无法弄清楚原因。

还有一个问题，为什么我的sublime3（subliemlinter，pep8linter已安装）保持警告from numpy import *或import numpy或import numpy as np是错误的。

感谢您的耐心等待。

Answer 1

您的raw_input未达到您对classify0函数的预期效果。

sample = array(raw_input('Enter you data:'))

这会给出像[“111 111”]

这样的东西

sample = [int(x) for x in raw_input().split()]

这会给[111,111]

您也可以将分隔符更改为拆分，即如果输入为逗号分隔，则使用a

python-无法在脚本中调用函数，但可以在交互模式下调用

1 个答案: