我已经创建了一个管道,该管道应该适合我的数据和评分本身的不同模型,但我收到了这个错误
代码如下:
`models = {"Ridge": Ridge(),
"SVR_linear": SVR(kernel="linear"),
"SVR_rbf": SVR(kernel="rbf"),
"RandomForestRegressor": RandomForestRegressor()}
reg_results = {}`
`for model_name, model in models.items():
# Model preprocessor with pipeline
model_pipeline = Pipeline(steps=[("preprocessor", preprocessor),
("model", models)])
# Fit models
print(f"Fitting {model_name}...")
model_pipeline.fit(car_X_train, car_y_train)
# Score model and append model results dict with values
print(f"Scoring {model_name}...")
reg_results[model_name] = model.pipeline.score(car_X_test, car_y_test)`
将“模型”替换为“模型”
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