我该如何处理这个警告？
Warning (from warnings module):
File "C:\Users\SAMSUNG\AppData\Local\Programs\Python\Python37\lib\site-packages\sklearn\linear_model\_logistic.py", line 762
extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG)
ConvergenceWarning: lbfgs failed to converge (status=1):
STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
Increase the number of iterations (max_iter) or scale the data as shown in:
https://scikit-learn.org/stable/modules/preprocessing.html
Please also refer to the documentation for alternative solver options:
https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
urls_data = pd.read_csv("data.csv")
TEST_SIZE = 0.001
type(urls_data)
urls_data.head()
def makeTokens(f):
tkns_BySlash = str(f.encode('utf-8')).split('/')
total_Tokens = []
for i in tkns_BySlash :
tokens = str(i).split('-')
tkns_ByDot = []
for j in range(0, len(tokens)): …