def emax(self, param1, model):
"""
Takes given betas and estimates the emax function (en emax_dic)
"""
#free up memory
gc.collect()
#updating with new betas
np.random.seed(1) #always the same emax, for a given set of beta
emax_ins_1 = emax.Emaxt(param1, self.D, self.dict_grid, self.hours_p,
self.hours_f, self.wr, self.cs, self.ws, model)
return emax_ins_1.recursive() #t=1 to t=8
model = util.Utility(param0,N,x_w,x_m,x_k,passign,nkids0,married0,hours,childcare,
agech0,hours_p,hours_f,wr,cs,ws)
tracemalloc.start()
##############Computing EmaxT#####################
print ('')
print ('')
print ('Getting a dictionary of emax')
start_time = time.time()
print ('')
print ('')
D=20
np.random.seed(2)
emax_function_in=emax.Emaxt(param0,D,dict_grid,hours_p,hours_f,
wr,cs,ws,model)
emax_dic=emax_function_in.recursive() #8 emax (t=1 to t=8)
time_emax=time.time() - start_time
print ('')
print ('')
print ('Done with procedure in:')
print("--- %s seconds ---" % (time_emax))
print ('')
print ('')
#########Simulating data###############