Question

我正在使用sklearn构建一个朴素贝叶斯分类器： Breast Cancer Dataset。这是代码：

import numpy as np
import pandas as pd
from sklearn.naive_bayes import GaussianNB

col = ['ID','a1','a2','a3','a4','a5','a6','a7','a8','a9','class']
data =pd.read_csv("data.csv",names = col,header =None)
data = data.drop('ID',axis =1)
msk = np.random.rand(len(data)) < 0.66
train =  data[msk]
test = data[~msk]
y = train['class']
X = train.drop('class',axis = 1)
labels = test['class']
test = test.drop('class',axis = 1)
clf = GaussianNB()
'''
y1 = np.array(y, dtype=pd.Series)
X1 = np.array(X,dtype = pd.Series)
'''
clf.fit(X, y)

数据集分为66％训练集和33％测试集比。我使用sklearn使用高斯NB分类器。当我运行它时，我收到以下错误：

Traceback (most recent call last):

  File "<ipython-input-9-3c90e612af8d>", line 1, in <module>
    runfile('C:/Users/Keshav/Desktop/Spring/ML/Project/Breast Cancer/main1a.py', wdir='C:/Users/Keshav/Desktop/Spring/ML/Project/Breast Cancer')

  File "C:\Users\Keshav\Anaconda\lib\site-packages\spyderlib\widgets\externalshell\sitecustomize.py", line 580, in runfile
    execfile(filename, namespace)

  File "C:/Users/Keshav/Desktop/Spring/ML/Project/Breast Cancer/main1a.py", line 37, in <module>
    clf.fit(X, y)

  File "C:\Users\Keshav\Anaconda\lib\site-packages\sklearn\naive_bayes.py", line 163, in fit
    self.theta_[i, :] = np.mean(Xi, axis=0)

  File "C:\Users\Keshav\Anaconda\lib\site-packages\numpy\core\fromnumeric.py", line 2727, in mean
    out=out, keepdims=keepdims)

  File "C:\Users\Keshav\Anaconda\lib\site-packages\numpy\core\_methods.py", line 69, in _mean
    ret, rcount, out=ret, casting='unsafe', subok=False)

TypeError: unsupported operand type(s) for /: 'str' and 'long'

使用相同的训练集和测试集，我能够成功运行SVM（sklearn），但使用GaussianNB却不是这样。

知道怎么解决吗？

TypeError：/：＆＃39; str＆＃39;不支持的操作数类型而且＆＃39; long＆＃39;

0 个答案: