# Example of blending with simple train-validation split
train_meta, val_meta, y_train_meta, y_val_meta = train_test_split(X, y, test_size=0.2)
base_model_1.fit(train_meta, y_train_meta)
base_model_2.fit(train_meta, y_train_meta)
preds_1 = base_model_1.predict(val_meta)
preds_2 = base_model_2.predict(val_meta)
meta_features = np.column_stack((preds_1, preds_2))
meta_model.fit(meta_features, y_val_meta)