def extract_information(results, name, radius=None):
print '***** extracting the information *****'
info = Information(name)
for result in results:
# print len(result['typeProbHistory'])
# print (len(result['historyParameters']))
# print info.AGA_max_len_hist
# print info.ABU_max_len_hist
# print info.PF_max_len_hist
if result['estimationMode'] == 'AGA':
if len(result['typeProbHistory']) > info.AGA_max_len_hist:
info.AGA_max_len_hist = len(result['typeProbHistory'])
info.AGA_estimationHist.append(result['historyParameters'])
info.AGA_typeProbHistory.append(result['typeProbHistory'])
info.AGA_trueParameter.append(result['trueParameters'])
info.AGA_errors.append(
calculate_error(result['trueParameters'],
result['historyParameters']))
if result['estimationMode'] == 'ABU':
if len(result['typeProbHistory']) > info.ABU_max_len_hist:
info.ABU_max_len_hist = len(result['typeProbHistory'])
info.ABU_estimationHist.append(result['historyParameters'])
info.ABU_typeProbHistory.append(result['typeProbHistory'])
info.ABU_trueParameter.append(result['trueParameters'])
info.ABU_errors.append(
calculate_error(result['trueParameters'],
result['historyParameters']))
if result['estimationMode'] == 'MIN':
if radius != None:
print radius, result['mainAgentRadius'], radius == result[
'mainAgentRadius']
if radius == result['mainAgentRadius']:
if len(result['typeProbHistory']) > info.PF_max_len_hist:
info.PF_max_len_hist = len(result['typeProbHistory'])
info.PF_typeProbHistory.append(result['typeProbHistory'])
info.PF_estimationHist.append(result['historyParameters'])
info.PF_trueParameter.append(result['trueParameters'])
info.PF_errors.append(
calculate_error(result['trueParameters'],
result['historyParameters']))
else:
if len(result['typeProbHistory']) > info.PF_max_len_hist:
info.PF_max_len_hist = len(result['typeProbHistory'])
info.PF_typeProbHistory.append(result['typeProbHistory'])
info.PF_estimationHist.append(result['historyParameters'])
info.PF_trueParameter.append(result['trueParameters'])
info.PF_errors.append(
calculate_error(result['trueParameters'],
result['historyParameters']))
return info
def extract_information(results, name, radius=None):
# print '***** extracting the information *****'
info = Information(name)
for result in results:
# print len(result['typeProbHistory'])
# print (len(result['historyParameters']))
# print info.AGA_max_len_hist
# print info.ABU_max_len_hist
# print info.OGE_max_len_hist
if result['parameter_estimation_mode'] == 'TRUE':
# print 'true'
# print 'time step:', result['timeSteps']
# print result['type_estimation_mode']
if len(result['typeProbHistory']) > info.TRUE_max_len_hist:
info.TRUE_max_len_hist = len(result['typeProbHistory'])
info.TRUE_timeSteps.append(result['timeSteps'])
# info.TRUE_estimationHist.append(result['historyParameters'])
# info.TRUE_typeProbHistory.append(result['typeProbHistory'])
# info.TRUE_trueParameter.append(result['trueParameters'])
# info.TRUE_errors.append(calculate_error(result['trueParameters'], result['historyParameters']))
if result['parameter_estimation_mode'] == 'AGA':
if len(result['typeProbHistory']) > info.AGA_max_len_hist:
info.AGA_max_len_hist = len(result['typeProbHistory'])
info.AGA_timeSteps.append(result['timeSteps'])
info.AGA_estimationHist.append(result['historyParameters'])
info.AGA_typeProbHistory.append(result['typeProbHistory'])
info.AGA_trueParameter.append(result['trueParameters'])
error = calculate_error(result['trueParameters'],
result['historyParameters'])
# print 'AGA', result['path'], error
info.AGA_errors.append(error)
if result['parameter_estimation_mode'] == 'ABU':
if len(result['typeProbHistory']) > info.ABU_max_len_hist:
info.ABU_max_len_hist = len(result['typeProbHistory'])
info.ABU_timeSteps.append(result['timeSteps'])
info.ABU_estimationHist.append(result['historyParameters'])
info.ABU_typeProbHistory.append(result['typeProbHistory'])
info.ABU_trueParameter.append(result['trueParameters'])
error = calculate_error(result['trueParameters'],
result['historyParameters'])
# print 'ABU', result['path'] , error
info.ABU_errors.append(error)
if result['parameter_estimation_mode'] == 'MIN':
if radius != None:
# print radius, result['mainAgentRadius'], radius == result['mainAgentRadius']
if radius == result['mainAgentRadius']:
if len(result['typeProbHistory']) > info.OGE_max_len_hist:
info.OGE_max_len_hist = len(result['typeProbHistory'])
info.OGE_timeSteps.append(result['timeSteps'])
info.OGE_typeProbHistory.append(result['typeProbHistory'])
info.OGE_estimationHist.append(result['historyParameters'])
info.OGE_trueParameter.append(result['trueParameters'])
error = calculate_error(result['trueParameters'],
result['historyParameters'])
# print 'OGE', result['path'], error
info.OGE_errors.append(error)
else:
if len(result['typeProbHistory']) > info.OGE_max_len_hist:
info.OGE_max_len_hist = len(result['typeProbHistory'])
info.OGE_timeSteps.append(result['timeSteps'])
info.OGE_typeProbHistory.append(result['typeProbHistory'])
info.OGE_estimationHist.append(result['historyParameters'])
info.OGE_trueParameter.append(result['trueParameters'])
error = calculate_error(result['trueParameters'],
result['historyParameters'])
# print 'OGE', result['path'], error
info.OGE_errors.append(error)
# print name
print "number of AGA: ", len(info.AGA_timeSteps)
print "number of ABU: ", len(info.ABU_timeSteps)
print "number of OGE: ", len(info.OGE_timeSteps)
return info
