ValueError的来源是什么?如何解决？

Question

我有一个由11列组成的数据，其中一个周日是绝对的。

columns = ['Series' 'Year' 'Month' 'Day' 'Weekday' 'Number1' 'Number2' 'Number3'
 'Number4' 'Number5' 'Number6']

由于数据最初是作为timeseries数据提供的，所以我使用下面的方法(时间序列预测教程)来使用pycaret python包预测六个数值列的值。

然而，在模型确定和比较过程中，定义了以下功能：

def ml_modelling(train, test) -> None:
    """This function models the given timeseries dataset

    Args:
        train (pd.DataFrame): _description_
        test (pd.DataFrame): _description_
    """
    # Now that we have done the train-test-split, we are ready to train a
    # machine learning model on the train data, score it on the test data and
    # evaluate the performance of our model. In this example, I will use
    # PyCaret; an open-source, low-code machine learning library in Python that
    # automates machine learning workflows.
    numerical_columns = list(train.select_dtypes(include=[np.number]).columns.values)
    targets = [col for col in numerical_columns if col.startswith('Number')]
    for target_var in targets:

        s = setup(data=train,
                  test_data=test,
                  target=target_var,
                  fold_strategy='timeseries',
                  numeric_features=numerical_columns,
                  fold=5,
                  transform_target=True,
                  session_id=123)

        models()

        # Now to train machine learning models, you just need to run one line
        best = compare_models(sort='MAE')
        print(f'Output from compare_models for column {target_var}: \n', best)
        print('##############################################################')

我收到以下错误消息：

Traceback (most recent call last):
  File "c:/Users/username/OneDrive/Desktop/project/main_script.py", line 64, in <module>
    main()
  File "c:/Users/username/OneDrive/Desktop/project/main_script.py", line 56, in main
    ml_modelling(train, test)
  File "c:\Users\username\OneDrive\Desktop\project\utilities.py", line 1076, in ml_modelling
    s = setup(data=train,
  File "C:\Users\username\Anaconda3\lib\site-packages\pycaret\regression.py", line 571, in setup
    return pycaret.internal.tabular.setup(
  File "C:\Users\username\Anaconda3\lib\site-packages\pycaret\internal\tabular.py", line 607, in setup        
    raise ValueError(
ValueError: Column type forced is either target column or doesn't exist in the dataset. 

如果你能让我知道我犯了什么错误，我将不胜感激。

Answer 1

我必须在setup函数中做以下更改：

numeric_features=numerical_columns

至

numeric_features=[col for col in numerical_columns if col != target_var]

因为，在对目标变量的任何给定迭代中，目标不再被视为numeric_features。