回归超参数综合调优

from sklearn.datasets import fetch_california_housing
from sklearn.neural_network import MLPRegressor
from sklearn.model_selection import train_test_split, GridSearchCV
from sklearn.preprocessing import StandardScaler
housing = fetch_california_housing()
X_train, X_test, y_train, y_test = train_test_split(____)
scaler = StandardScaler()
X_train = scaler.fit_transform(____)
X_test = scaler.transform(____)
param_grid = {'____': [(____,), (____,)]}
reg = MLPRegressor(____)
grid = GridSearchCV(____)
grid.fit(____)
print(____)