declaredCpuCapacity=3,
declaredRAMCapacityKB=convertMem(3.75, "GB", "KB"),
costPerTimeUnit=0.098)
types = [m1Small, m1Medium, m3Medium]
types.sort(key=lambda t: t.declaredCpuCapacity)
##== Initialise client, first AS servers and Load Balancers
firstAppServer = factory.createVM(readableName="App 1",
vmType=m3Medium,
address=firstAppServerAddress)
serverFarm = factory.createServerFarm(address=loadBalancerAddress)
serverFarm.addServers(firstAppServer)
##==
fann = FANNWrapper(topology=(inputUnits, hiddenUnits, 2))
# # ===
#nextAppServer = factory.createVM(readableName="App 2", vmType = t1Micro, address = None)
#log.info("------------->" + nextAppServer.address)
#serverFarm.addServers(nextAppServer)
time.sleep(90)
inputMomentum = 0.0
# Sleep between measurments
defSleepPeriod = 5
sleepPeriod = defSleepPeriod
# Used to determine lrk
'''
Created on 05/06/2014
@author: nikolay
'''
from __builtin__ import map
import sys
import time
import collections
import logging
from os.path import os
from sys import maxint
from autoscale.FANNWrapper import FANNWrapper
from math import *
fann = FANNWrapper(topology=(1, 250, 2));
for k in range(1, 1000):
for i in range(k, 10000, k):
expOutput = [log(i * 10), log(i * 10)]
rmse = fann.train(n=i, expOutput=expOutput, trainTimes = 1, revert=False, maxRMSE=0.05)
print "Training with i = %d, RMSE: %.4f, output=[%.4f, %.4f]" % (i, rmse, expOutput[0], expOutput[1])
for i in range(1, 10000, 100):
result = fann.run(i)
rmse = fann.rmse(i, result)
print "Result: %d, RMSE: %.4f, output=[%.4f, %.4f]" % (i, rmse, result[0], result[1])
