Python代价函数机器学习

我在做波士顿价格预测项目。问题是，当我试图计算

成本函数时，我收到一个错误：

Data must be 1-dimensional

代码：

错误

ile "C:\Users\Alberto\Desktop\Oscar\UNIVERSIDAD\TFG\PROYECTOS\PRECIO CASAS BOSTON\prediction.py", line 129, in <module>
    predictor.linear_regression_model(X_train, Y_train, 10000)

  File "C:\Users\Alberto\Desktop\Oscar\UNIVERSIDAD\TFG\PROYECTOS\PRECIO CASAS BOSTON\prediction.py", line 110, in linear_regression_model
    cost_train = self.cost_function(Z_train, Y_train)

  File "C:\Users\Alberto\Desktop\Oscar\UNIVERSIDAD\TFG\PROYECTOS\PRECIO CASAS BOSTON\prediction.py", line 87, in cost_function
    J = (1/455)*np.sum(np.square(Z_train - Y_train))

  File "C:\Users\Alberto\anaconda3\lib\site-packages\pandas\core\series.py", line 635, in __array_ufunc__
    result = ops.maybe_dispatch_ufunc_to_dunder_op(

  File "pandas\_libs\ops_dispatch.pyx", line 91, in pandas._libs.ops_dispatch.maybe_dispatch_ufunc_to_dunder_op

  File "C:\Users\Alberto\anaconda3\lib\site-packages\pandas\core\ops\common.py", line 64, in new_method
    return method(self, other)

  File "C:\Users\Alberto\anaconda3\lib\site-packages\pandas\core\ops\__init__.py", line 505, in wrapper
    return _construct_result(left, result, index=left.index, name=res_name)

  File "C:\Users\Alberto\anaconda3\lib\site-packages\pandas\core\ops\__init__.py", line 478, in _construct_result
    out = left._constructor(result, index=index)

  File "C:\Users\Alberto\anaconda3\lib\site-packages\pandas\core\series.py", line 305, in __init__
    data = sanitize_array(data, index, dtype, copy, raise_cast_failure=True)

  File "C:\Users\Alberto\anaconda3\lib\site-packages\pandas\core\construction.py", line 482, in sanitize_array
    raise Exception("Data must be 1-dimensional")

**Exception: Data must be 1-dimensional)**

ile“C:\Users\Alberto\Desktop\Oscar\UNIVERSIDAD\TFG\PROYECTOS\PRECIO CASAS BOSTON\prediction.py”，第129行，在
预测因子。线性回归模型（X序列，Y序列，10000）
文件“C:\Users\Alberto\Desktop\Oscar\UNIVERSIDAD\TFG\PROYECTOS\PRECIO CASAS BOSTON\prediction.py”，第110行，在线性回归模型中
成本列车=自身成本列车功能（Z列车、Y列车）
文件“C:\Users\Alberto\Desktop\Oscar\UNIVERSIDAD\TFG\PROYECTOS\PRECIO CASAS BOSTON\prediction.py”，第87行，成本函数
J=（1/455）*np.和（np.平方（Z_列-Y_列））
文件“C:\Users\Alberto\anaconda3\lib\site packages\pandas\core\series.py”，第635行，在数组中__
结果=运行。可能将运行调度到运行(
文件“pandas\\ libs\ops\u dispatch.pyx”，第91行，在pandas.libs.ops\u dispatch.maybe\u dispatch\u ufunc\u to\u dunder\u op
文件“C:\Users\Alberto\anaconda3\lib\site packages\pandas\core\ops\common.py”，第64行，采用新方法
返回方法（自身、其他）
文件“C:\Users\Alberto\anaconda3\lib\site packages\pandas\core\ops\\uuuuu init\uuuuu.py”，第505行，在包装器中
return _construct_result（左，result，index=left.index，name=res_name）
文件“C:\Users\Alberto\anaconda3\lib\site packages\pandas\core\ops\\uuuu init\uuuuu.py”，第478行，位于“构造”结果中
out=左。\构造函数（结果，索引=索引）
文件“C:\Users\Alberto\anaconda3\lib\site packages\pandas\core\series.py”，第305行，在\uuu init中__
数据=清理数组（数据、索引、数据类型、复制、引发\u转换\u失败=真）
文件“C:\Users\Alberto\anaconda3\lib\site packages\pandas\core\construction.py”，第482行，在sanitize\u数组中
引发异常（“数据必须是一维的”）
**例外情况：数据必须是一维的）**
请将错误格式化为code@MadPhysicist请不要将错误格式化为code@MadPhysicist多恩
ile "C:\Users\Alberto\Desktop\Oscar\UNIVERSIDAD\TFG\PROYECTOS\PRECIO CASAS BOSTON\prediction.py", line 129, in <module>
    predictor.linear_regression_model(X_train, Y_train, 10000)

  File "C:\Users\Alberto\Desktop\Oscar\UNIVERSIDAD\TFG\PROYECTOS\PRECIO CASAS BOSTON\prediction.py", line 110, in linear_regression_model
    cost_train = self.cost_function(Z_train, Y_train)

  File "C:\Users\Alberto\Desktop\Oscar\UNIVERSIDAD\TFG\PROYECTOS\PRECIO CASAS BOSTON\prediction.py", line 87, in cost_function
    J = (1/455)*np.sum(np.square(Z_train - Y_train))

  File "C:\Users\Alberto\anaconda3\lib\site-packages\pandas\core\series.py", line 635, in __array_ufunc__
    result = ops.maybe_dispatch_ufunc_to_dunder_op(

  File "pandas\_libs\ops_dispatch.pyx", line 91, in pandas._libs.ops_dispatch.maybe_dispatch_ufunc_to_dunder_op

  File "C:\Users\Alberto\anaconda3\lib\site-packages\pandas\core\ops\common.py", line 64, in new_method
    return method(self, other)

  File "C:\Users\Alberto\anaconda3\lib\site-packages\pandas\core\ops\__init__.py", line 505, in wrapper
    return _construct_result(left, result, index=left.index, name=res_name)

  File "C:\Users\Alberto\anaconda3\lib\site-packages\pandas\core\ops\__init__.py", line 478, in _construct_result
    out = left._constructor(result, index=index)

  File "C:\Users\Alberto\anaconda3\lib\site-packages\pandas\core\series.py", line 305, in __init__
    data = sanitize_array(data, index, dtype, copy, raise_cast_failure=True)

  File "C:\Users\Alberto\anaconda3\lib\site-packages\pandas\core\construction.py", line 482, in sanitize_array
    raise Exception("Data must be 1-dimensional")

**Exception: Data must be 1-dimensional)**