如何将FunctionTransformer和GridSearchCV一起放到一个管道中？

from sklearn.pipeline import Pipeline
from sklearn.preprocessing import FunctionTransformer
from sklearn.model_selection import GridSearchCV

def log_transform(X):
    return np.log(X)

transformer = FunctionTransformer(log_transform)

model = SVC()

param_grid = {'model__C': [0.1, 1, 10], 'model__kernel': ['linear', 'rbf']}

grid_search = GridSearchCV(
    estimator=Pipeline([('transformer', transformer), ('model', model)]),
    param_grid=param_grid,
    cv=5
)

grid_search.fit(X, y)