def __init__(self, x, y, norm_type=0):
        """C'tor, takes input arrays of x and y values

        Parameters
        ----------
        x : array-like
           Set of values of the free parameter

        y : array-like
           Set of values for the _negative_ log-likelhood

        norm_type :  str
           String specifying the type of quantity used for the `x`
           parameter.

        Notes
        -----
        Note that class takes and returns the _negative log-likelihood
        as fitters typically minimize rather than maximize.

        """
        self._interp = Interpolator(x, y)
        self._mle = None
        self._norm_type = norm_type
def __init__ ( self , x , y , norm_type = 0 ) : self . _interp = Interpolator ( x , y ) self . _mle = None self . _norm_type = norm_type
C'tor, takes input arrays of x and y values

        Parameters
        ----------
        x : array-like
           Set of values of the free parameter

        y : array-like
           Set of values for the _negative_ log-likelhood

        norm_type :  str
           String specifying the type of quantity used for the `x`
           parameter.

        Notes
        -----
        Note that class takes and returns the _negative log-likelihood
        as fitters typically minimize rather than maximize.