我有一段代码很好地工作了一阵子。NLTK TypeError:'str'和'int'的实例之间不支持'<'
import nltk
import pickle
from nltk.tokenize import word_tokenize
from nltk.classify import ClassifierI
from statistics import mode
我有nltk正确安装,我昨天没有得到这个问题。据了解,没有任何变化。
下面是完整的堆栈跟踪,
Traceback (most recent call last):
File "C:\Users\student\Desktop\asd.py", line 1, in <module>
import nltk
File "C:\Users\student\AppData\Local\Programs\Python\Python36\lib\site-packages\nltk\__init__.py", line 128, in <module>
from nltk.chunk import *
File "C:\Users\student\AppData\Local\Programs\Python\Python36\lib\site-packages\nltk\chunk\__init__.py", line 157, in <module>
from nltk.chunk.api import ChunkParserI
File "C:\Users\student\AppData\Local\Programs\Python\Python36\lib\site-packages\nltk\chunk\api.py", line 13, in <module>
from nltk.parse import ParserI
File "C:\Users\student\AppData\Local\Programs\Python\Python36\lib\site-packages\nltk\parse\__init__.py", line 79, in <module>
from nltk.parse.transitionparser import TransitionParser
File "C:\Users\student\AppData\Local\Programs\Python\Python36\lib\site-packages\nltk\parse\transitionparser.py", line 21, in <module>
from sklearn.datasets import load_svmlight_file
File "C:\Users\student\AppData\Local\Programs\Python\Python36\lib\site-packages\sklearn\__init__.py", line 57, in <module>
from .base import clone
File "C:\Users\student\AppData\Local\Programs\Python\Python36\lib\site-packages\sklearn\base.py", line 12, in <module>
from .utils.fixes import signature
File "C:\Users\student\AppData\Local\Programs\Python\Python36\lib\site-packages\sklearn\utils\__init__.py", line 11, in <module>
from .validation import (as_float_array,
File "C:\Users\student\AppData\Local\Programs\Python\Python36\lib\site-packages\sklearn\utils\validation.py", line 18, in <module>
from ..utils.fixes import signature
File "C:\Users\student\AppData\Local\Programs\Python\Python36\lib\site-packages\sklearn\utils\fixes.py", line 406, in <module>
if np_version < (1, 12, 0):
TypeError: '<' not supported between instances of 'str' and 'int'
你昨天更新了任何python模块吗? ESP。 'numpy'还是'scipy'?这听起来很疯狂,但我相信'gensim' .whl安装比单独安装'numpy','scipy','sklearn'和'nltk'多,所以这可能有助于'pip安装-U gensim',然后'pip install - U scikit-learn',然后'pip install -U nltk'。 – alvas
顺便提一句,'nltk'被称为在python3.6上抛出错误/弃用警告。 – alvas