Question

我在GridSearchCV中使用RandomForestRegressor。我收到此错误：

   ValueError: Invalid parameter RandomForestRegressor for estimator Pipeline

我不明白为什么。这是我的代码：

 pipelines = {
        'rf': make_pipeline(StandardScaler(),
                            RandomForestRegressor(random_state=42)),


rf_hyperparameters = {
    'RandomForestRegressor__n_estimators': [100, 200, 300, 400, 500],
    'RandomForestRegressor__max_features': ['auto', 'sqrt', 0.33]
    }

hyperparameters = {
    'rf': rf_hyperparameters,
}

fitted_alternative_models = {}
for name, pipeline in pipelines.items():
    alt_model = GridSearchCV(pipeline, hyperparameters[name], cv=10, n_jobs=-1)
    alt_model.fit(X_train, y_train.values.ravel())

谢谢！

Answer 1

我更改了：

new GetCallback<ResponseObject>() { public void done(ResponseObject response, ThunderHeadException e){...}}`

收件人：

rf_hyperparameters = {
    'RandomForestRegressor__n_estimators': [100, 200, 300, 400, 500],
    'RandomForestRegressor__max_features': ['auto', 'sqrt', 0.33]
    }

它正在工作。

估算器管道的无效参数rf

1 个答案: