No module named NaiveBayes

问题:

The code we are implementing is

from NaiveBayes import  Pool
import os

DClasses = ["python",  "java",  "hadoop",  "django",  "datascience",  "php"]

base = "learn/"
p = Pool()
for i in DClasses:
    p.learn(base + i, i)



base = "test/"
for i in DClasses:
    dir = os.listdir(base + i)
    for file in dir:
        res = p.Probability(base + i + "/" + file)
        print(i + ": " + file + ": " + str(res))

but we are getting error like no module found like naivebayes.

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-21-30788f518a4c> in <module>()
----> 1 from NaiveBayes import  Pool
      2 import os
      3 
      4 DClasses = ["python",  "java",  "hadoop",  "django",  "datascience",  "php"]
      5 

ModuleNotFoundError: No module named 'NaiveBayes'

Help to eradicate this error.Thanks.

回答1:

The code does not seem to be from the scikit-learn Naive Bayes algorithms, which, in any case, do not have a Pool attribute or method.

It seems you are trying to use another NaiveBayes library, in which case your import should be

from NaiveBayes.Pool import Pool

as shown in the example there. But the message implies that you have not installed it; try from the shell

git clone https://github.com/yveskaufmann/Naive-Bayes

in your current directory (see also the documentation for cloning Github repos).