solver在回归中的对比

from sklearn.datasets import load_diabetes
from sklearn.neural_network import MLPRegressor
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import r2_score
diabetes = load_diabetes()
X_train, X_test, y_train, y_test = train_test_split(____)
scaler = StandardScaler()
X_train = scaler.fit_transform(____)
X_test = scaler.transform(____)
for solver in ['____', '____', '____']:
    reg = MLPRegressor(hidden_layer_sizes=(____,), solver=solver, max_iter=____, random_state=____)
    reg.fit(____)
    print(____)