Python BaseEstimator示例

示例#1

文件： least_squares.py 项目： Snazz2001/censored_regression

    def __init__(self, *args, **kwargs):
        """
        Unregularized ordinary least squares with censored labels. 
        """

        BaseEstimator.__init__(self, *args, **kwargs)

示例#2

文件： lasso.py 项目： iskandr/censored_regression

 def __init__(self, *args, **kwargs):
     self.regularization_weight = kwargs.pop('regularization_weight', 0.001)
     BaseEstimator.__init__(self, *args, **kwargs)

示例#3

文件： ridge.py 项目： Snazz2001/censored_regression

 def __init__(self, *args, **kwargs):
     """
     Unregularized ordinary least squares with censored labels. 
     """
     self.regularization_weight = kwargs.pop('regularization_weight', 0.001)
     BaseEstimator.__init__(self, *args, **kwargs)