Ridge alpha对比可视化

def solve():
    import pandas as pd
    import matplotlib.pyplot as plt
    import numpy as np
    from sklearn.linear_model import Ridge
    from sklearn.model_selection import train_test_split
    df = pd.read_csv(____)
    X = df.drop(____); y = df["____"]
    X_train, X_test, y_train, y_test = train_test_split(____)
    alphas = [____, ____, ____, ____, ____]
    coefs, r2s = [], []
    for a in alphas:
        ridge = Ridge(____).fit(____)
        coefs.append(____); r2s.append(ridge.score(____))
    coefs = np.array(____)
    for i in range(____):
        plt.plot(____)
    plt.xscale(____); plt.xlabel(____); plt.ylabel(____); plt.legend()
    plt.title(____); plt.show()
    print("____".join(f"____" for a, r in zip(____)))