老师好，今天我想寻找多项式逻辑回归中，最合适的 degree 、C、penalty，但运行几次都报错，报错原因如下：
ValueError: Invalid parameter C for estimator Pipeline
大概意思是，对于管道 Pipeline 而言，是无效参数，请问老师在多项式逻辑回归中，能进行网格搜索吗？

相关代码如下：

from sklearn.model_selection import GridSearchCV 
from sklearn.pipeline import Pipeline
from sklearn.linear_model import LogisticRegression
from sklearn.preprocessing import StandardScaler,PolynomialFeatures

def PolyLogisticRegression2(degree,C,penalty='l2'):
    return Pipeline([
        ('poly',PolynomialFeatures(degree=degree)),
        ('stand',StandardScaler()),
        ('log',LogisticRegression(C=C,penalty=penalty))
    ])

poly_log_reg2 = PolyLogisticRegression2(20,1,'l2')

param_grid2 = [{
    'degree':[i for i in range(10,20)],
    'C':[i for i in np.arange(0.1,1,0.1)],
    'penalty':['l1','l2']
}]

grid_search = GridSearchCV(poly_log_reg2,param_grid2,verbose=2,n_jobs=-1)
grid_search.fit(X_train,y_train)