def __init__(self,data,forecastMessure,p,d,q):
Modelling.__init__(self,data,forecastMessure)
self.data=data
self.p=p
self.d=d
self.q=q
self.forecastMessure=forecastMessure
def __init__(self, data, forecastMessure, seasonal_periods, WStRMSEOpt,
WMAPEOpt, product):
Modelling.__init__(self, data, forecastMessure)
self.data = data
self.forecastMessure = forecastMessure
self.seasonal_periods = seasonal_periods
self.WStRMSEOpt = WStRMSEOpt
self.WMAPEOpt = WMAPEOpt
self.product = product
def __init__(self,
data,
forecastMessure,
hidden_layers=[20, 15],
activation_functions=['relu', 'relu'],
optimizer=SGD(),
loss='mean_absolute_error'):
Modelling.__init__(self, df, forecastMessure)
self.data = data
self.forecastMessure = forecastMessure
self.hidden_layers = hidden_layers
self.activation_functions = activation_functions
self.optimizer = optimizer
self.loss = loss
if len(self.hidden_layers) != len(self.activation_functions):
raise Exception(
"hidden_layers size must match activation_functions size")
