def orderscatter(outputs, T, filename = "", marker = '+'):
if plt:
c_index = get_cC_index(T, outputs)
T_copy = T.copy()
T_copy[:, 0] = outputs[:, 0]
plt.figure()
plt.title('Scatter between the indices of the sorted target and sorted output arrays\n' + str(filename) + "\nC index = " + str(c_index) + "\nEvents in green, Censored in red.")
plt.xlabel('Target index')
plt.ylabel('Network index')
largest = 0
for x_index in xrange(len(T)):
index_t = 0 #index in T
index_o = 0 #index in outputs
color = 'g'
if not T[x_index, 1]:
color = 'r'
for cmp_index in xrange(len(T)):
if T[x_index, 0] > T[cmp_index, 0]:
index_t += 1
if index_t > largest:
largest = index_t
if T_copy[x_index, 0] > T_copy[cmp_index, 0]:
index_o += 1
plt.plot(index_t, index_o, color + marker)
plt.plot(range(largest), range(largest), 'r-')
def epoch_func(net, test_inputs, test_targets, block_size, epoch, timeslots = None, risk_groups = None, **pre_loop_kwargs):
outputs = net.sim(test_inputs)
sigma = calc_sigma(outputs)
if block_size != 0 and block_size != len(test_targets):
timeslots = generate_timeslots(test_targets)
risk_groups = get_risk_groups(test_targets, timeslots)
beta, beta_risk, part_func, weighted_avg = calc_beta(outputs, timeslots, risk_groups)
error = cox_error(beta, sigma)
c_index = get_cC_index(test_targets, outputs)
logger.info("C index = " + str(c_index))
glogger.debugPlot('Total error', error, style = 'b-')
glogger.debugPlot('C index vs Epochs', c_index, style = 'b-')
glogger.debugPlot('Sigma * Beta vs Epochs', beta * sigma, style = 'g-')
#glogger.debugPlot('Sigma vs Epochs', sigma, style = 'b-')
#glogger.debugPlot('Beta vs Epochs', beta, style = 'b-')
logger.info('Beta*Sigma = ' + str(sigma * beta))
return {'error': error}
