def __init__(self, *args,**kwargs):
Distribution.__init__(self)
# parse parameters correctly
param = None
if len(args) > 0:
param = args[0]
if kwargs.has_key('param'):
if param == None:
param = kwargs['param']
else:
for k,v in kwargs['param'].items():
param[k] = v
if len(kwargs)>0:
if param == None:
param = kwargs
else:
for k,v in kwargs.items():
if k != 'param':
param[k] = v
# set default parameters
self.name = 'Gamma Distribution'
self.param = {'u':1.0,'s':1.0}
if param != None:
for k in param.keys():
self.param[k] = float(param[k])
self.primary = ['u','s']
def __init__(self, mu=0, sigma=1):
Distribution.__init__(self, mu, sigma)
def __init__(self,mean,std): Distribution.__init__(self) self._std=std self._mean=mean
