(self, fill_method="mean", min_value=None, max_value=None)
Possible values for fill_method:
            "zero": fill missing entries with zeros
            "mean": fill with column means
            "median" : fill with column medians
            "min": fill with min value per column
            "random": fill with gaussian noise according to mean/std of column
Possible values for fill_method:
            "zero": fill missing entries with zeros
            "mean": fill with column means
            "median" : fill with column medians
            "min": fill with min value per column
            "random": fill with gaussian noise according to mean/std of column
Possible values for fill_method : zero : fill missing entries with zeros mean : fill with column means median : fill with column medians min : fill with min value per column random : fill with gaussian noise according to mean / std of column
def __init__(self, fill_method="mean", min_value=None, max_value=None):
        """
        Possible values for fill_method:
            "zero": fill missing entries with zeros
            "mean": fill with column means
            "median" : fill with column medians
            "min": fill with min value per column
            "random": fill with gaussian noise according to mean/std of column
        """
        Solver.__init__(
            self,
            fill_method=fill_method,
            min_value=None,
            max_value=None)
def __init__ ( self , fill_method = "mean" , min_value = None , max_value = None ) : Solver . __init__ ( self , fill_method = fill_method , min_value = None , max_value = None )