import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from sklearn.model_selection import cross_val_score
from sklearn.linear_model import SGDClassifier
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import train_test_split
from sklearn.model_selection import StratifiedShuffleSplit
x=[0.1,0.2,0.3,0.5,4,7,10,18,6,8]
y=[0,0,0,0,1,1,1,1,1,1]
train_date,test_date,train_y,test_y=train_test_split(
x,y,test_size=0.2,random_state=0)
print(train_date)
classifier=SGDClassifier(random_state=0)
f=classifier.get_params().keys()
print(f)
parameters_grid={'loss':['hinge','log','squared_hige',
'squared_loss'],'penalty':['l1','L2'],'n_iter':range(5, 10), 'alpha':
np.linspace(0.0001,0.001, num=5)}
cv=StratifiedShuffleSplit(train_y, n_iter=10, test_size=0.2,
random_state=0)
grid_cv=GridSearchCV(classifier, parameters_grid, scoring='f1_micro',
cv=cv)
grid_cv.fit(train_date,train_y)
a=grid_cv.grid_score_
print(a)
1）TypeError： init （）得到了意外的关键字参数'n_iter' 2）'列表'对象不能解释为整数