问题描述
我一直在尝试拟合网格搜索 K 最近邻分类器，但收到以下 TpyeError 消息
TypeError: Cannot clone object. You should provide an instance of scikit-learn estimator instead of a
class.
原始数据如下：
X_train
compactness sa area roofM3 h o glaz glazing_area_distribution
0 0.66 759.5 318.5 220.50 3.5 2 0.40 3
1 0.76 661.5 416.5 122.50 7.0 3 0.10 1
2 0.66 759.5 318.5 220.50 3.5 3 0.10 1
3 0.74 686.0 245.0 220.50 3.5 5 0.10 4
4 0.64 784.0 343.0 220.50 3.5 2 0.40 4
... ... ... ... ... ... ... ... ...
609 0.98 514.5 294.0 110.25 7.0 4 0.40 2
X_train.describe()
count 614.000000614.000000 614.000000 614.000000 614.000000 614.000000 614.000000 614.000000
mean0.762606 673.271173 319.617264 176.826954 5.227199 3.495114 0.236645 2.802932
std 0.106725 88.757699 43.705256 45.499990 1.751278 1.124751 0.133044 1.571128
min 0.620000 514.500000 245.000000 110.250000 3.500000 2.000000 0.000000 0.000000
25% 0.660000 612.500000 294.000000 122.500000 3.500000 2.000000 0.100000 1.000000
75% 0.820000 759.500000 343.000000 220.500000 7.000000 4.000000 0.400000 4.000000
max 0.980000 808.500000 416.500000 220.500000 7.000000 5.000000 0.400000 5.000000
尝试创建和拟合模型
from sklearn.model_selection import StratifiedKFold
model = StratifiedKFold()
cv_object = StratifiedKFold(n_splits=5,shuffle=True,random_state=50)
grid_values = {'n_neighbors': ['1','2','3','4','5'],'weights': ['uniform','distance']
}
from sklearn.model_selection import GridSearchCV
from sklearn.neighbors import KNeighborsClassifier as KNN
model = KNN()
gridsearch = GridSearchCV(KNN,cv=cv_object,param_grid=grid_values,scoring='neg_mean_absolute_error')
grid_estimator.fit(X_train,y_train)
解决方法
暂无找到可以解决该程序问题的有效方法，小编努力寻找整理中！
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