def calc_smape()

in afa/core.py [0:0]

• 15 lines of code
• 4 McCabe index (conditional complexity)

def calc_smape(y, yp, axis=0, smooth=True):
    """Calculate the symmetric mean absolute percentage error (sMAPE).
    
    sMAPE is calulated as follows:
    
        sMAPE = Σ|y - yp| / Σ(y + yp)
    
    where, 0.0 <= sMAPE <= 1.0 (lower is better)
    
    """
    try:
        eps = 1 / y.shape[0]

        if smooth:
            y2, yp2 = y + eps, yp + eps
        else:
            y2, yp2 = y, yp

        try:
            smape = np.divide(np.nansum(np.abs(y2 - yp2), axis=axis),
                              np.nansum(y2 + yp2, axis=axis))
        except ZeroDivisionError:
            smape = 0.0
    except ZeroDivisionError:
        return np.nan
        
    return np.round(smape, 4)