def __init__(self,
func_id,
mean_loss_ratio,
coefficient_of_variation,
distribution,
var_method=2):
self.function_id = func_id
self.mean_loss_ratio = asarray(mean_loss_ratio)
self.coefficient_of_variation = asarray(coefficient_of_variation)
# Support lognormal and normal only initially
# (this could be covered in xsd validation)
if distribution == 'N':
self.distribution = Distribution_Normal(var_method=var_method)
elif distribution == 'LN':
self.distribution = Distribution_Log_Normal(var_method=var_method)
else:
raise NotImplementedError(
'%s: %s is not a supported probabilistic distribution' %
(func_id, distribution))
