# Demo of Messager class.
# run with: DEVICE_ID=1 python sample.py
import os
import time
from clustermessaging.Messager import Messager
m = Messager()
def callback(message, name):
print('Message Received from %s! %s' % (name, message))
if os.environ['DEVICE_ID'] == '2':
print('registering callback')
m.registerCallback(callback)
else:
print('sending message')
m.sendMessage('2', 'hello, 2, i am %s' % m.getOwnName())
m.start()
for message in m.sync[i]:
vector_sum = vector_sum + message['weights']
vector_sum = vector_sum[0]
size = float(len(m.sync[i]))
w = vector_sum * (1.0 / size)
y_est = np.dot(X_test,w)
error = mse(y_est,y_test)
errors_per_iteration.append(error)
it.append(i+1)
writer.writerow((i,error))
requests.post(SERVER_URL + 'classifier_error/' + str(m.getOwnName()), data={'value': error}).text
f.close()
# Let's graph the error for this node
plt.figure(0)
plt.plot(it,errors_per_iteration,'b.',it,errors_per_iteration,'k-')
plt.axis([min(it)-1, max(it) + 1, 0, math.ceil(max(errors_per_iteration))])
plt.xlabel('Number of Iterations')
plt.ylabel('Error Percentage (Mean Squared Error)')
plt.title('SVM Prediction Error for Node {0}'.format(ID))
plt.grid()
plt.savefig("svm_plots/node_{0}_error_plot.png".format(ID),format="png",pad_inches=0.1)
# Demo of Messager class.
# run with: DEVICE_ID=1 python sample.py
import os
import time
from clustermessaging.Messager import Messager
m = Messager()
def callback(message, name):
print('Message Received from %s! %s' % (name, message))
if os.environ['DEVICE_ID'] == '2':
print('registering callback')
m.registerCallback(callback)
else:
print('sending message')
m.sendMessage('2', 'hello, 2, i am %s' % m.getOwnName())
m.start()
