我搞不懂for m in range(1, len(X_train)):在model.fit(X_train[:m], y_train[:m]) y_train_predict = model.predict(X_train[:m])行中做了什么。所以我认为m会遍历每个循环m+=1的训练data.and的大小,但我不能理解其余的 from sklearn.model_selection import train_test_split
X_train, X_val, y_train, y_val = tra