INNER CODE UNIT · Python

set

mszell/geospatialdatascience · unit11_mobilityindividual/stats_utils.py:214

    def set(self, value):
        self.value = value

    def __call__(self):
        return self.value

def LSfit(function, parameters, y, x):
    """
    *** ATTENTION! ***
    *** _x_ and _y_ MUST be NUMPY arrays !!! ***
    *** and use NUMPY FUNCTIONS, e.g. np.exp() and not math.exp() ***

    _function_    ->   Used to calculate the sum of the squares:
                         min   sum( (y - function(x, parameters))**2 )
                       {params}

    _parameters_  ->   List of elements of the Class "Parameter"
    _y_           ->   List of observations:  [ y0, y1, ... ]

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