如何在python中使用statsmodels.api.OLS

问题描述 投票:0回答:1

我开始学习机器知识并尝试实施Linear Regression Backward Elimination这是代码:

import statsmodels.api as sm
x = sm.add_constant(x)
x_opt = x[:,[0,1,2,3,4,5]]
regressor_OLS = sm.OLS(endog=y,exog=x_opt)

这里是错误:

Traceback (most recent call last):
  File "<input>", line 1, in <module>
  File "C:\Users\ewasy\AppData\Local\Programs\Python\Python37\lib\site-packages\statsmodels\regression\linear_model.py", line 859, in __init__
    hasconst=hasconst, **kwargs)
  File "C:\Users\ewasy\AppData\Local\Programs\Python\Python37\lib\site-packages\statsmodels\regression\linear_model.py", line 702, in __init__
    weights=weights, hasconst=hasconst, **kwargs)
  File "C:\Users\ewasy\AppData\Local\Programs\Python\Python37\lib\site-packages\statsmodels\regression\linear_model.py", line 190, in __init__
    super(RegressionModel, self).__init__(endog, exog, **kwargs)
  File "C:\Users\ewasy\AppData\Local\Programs\Python\Python37\lib\site-packages\statsmodels\base\model.py", line 236, in __init__
    super(LikelihoodModel, self).__init__(endog, exog, **kwargs)
  File "C:\Users\ewasy\AppData\Local\Programs\Python\Python37\lib\site-packages\statsmodels\base\model.py", line 77, in __init__
    **kwargs)
  File "C:\Users\ewasy\AppData\Local\Programs\Python\Python37\lib\site-packages\statsmodels\base\model.py", line 100, in _handle_data
    data = handle_data(endog, exog, missing, hasconst, **kwargs)
  File "C:\Users\ewasy\AppData\Local\Programs\Python\Python37\lib\site-packages\statsmodels\base\data.py", line 672, in handle_data
    **kwargs)
  File "C:\Users\ewasy\AppData\Local\Programs\Python\Python37\lib\site-packages\statsmodels\base\data.py", line 87, in __init__
    self._handle_constant(hasconst)
  File "C:\Users\ewasy\AppData\Local\Programs\Python\Python37\lib\site-packages\statsmodels\base\data.py", line 132, in _handle_constant
    if not np.isfinite(exog_max).all():
TypeError: ufunc 'isfinite' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''

这里是来自变量x的2行:

array([[1.0, 0.0, 1.0, 2.016411493158463, 0.560752914530775,2.153943088571744],
       [1.0, 0.0, 0.0, 1.9558603364325031, 1.0828065830760816,1.9236003956421444]], dtype=object)

这里是变量y的2行:

array([[2.01120333],[1.99942997]])
python machine-learning linear-regression statsmodels
1个回答
0
投票

问题是,在您的代码中x具有dtype=object而不是dtype=float,即x不是数字变量,因此不能用作回归变量。 x转换为float后,您的代码即可使用。

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