def resumeSession(runNumber):
#raise Exception("Not properly integrated with new graphics! Exiting...")
population, params = loadSession(runNumber)
path = "./Data/Run " + str(runNumber)
#Get the iteration number
try:
os.remove(path + "/.DS_Store") #Try and get rid of .DS_Store
except:
pass
iterNumber = int(sorted(os.listdir(path)[1:], key=lambda x: int(x.split(" ")[-1]))[-1].split(" ")[-1]) + 1
"""
#What that (^) line does
- Gets a list of all files in the directory ./Data/Run # and get rid of evolution_parameters.pkl os.listdir(path)[1]
- Sorts the list based on the number after 'Iteration ' sorted(os.listdir(path), key=lambda x: int(x.split(" ")[-1])
- Gets the last element and extracts its number [-1].split(" ")[-1])
- Increments that number by 1 + 1
"""
#Startup the graphics window
window = graphics.StatusWindow(params.iterations, params.popSize, params.trainingTimeout, params.trainingTarget)
#Restart evolution
GA.continuousEvolution(population, params, run_number = runNumber, start_iteration_number = iterNumber, graphicsWindow = window)
def createSession(popSize = 45, iterations = 10, mutate=0.2, extraParents=0.1, originalParents=0.2, hiddenLayers = 3, maxLayerSize = 15, trainingTimeout = 10, trainingTarget = 1.0):
global window
population = GA.networkLib.createPopulation(popSize, hiddenLayers, maxLayerSize)
#Startup the graphics window
window = graphics.StatusWindow(iterations, popSize, trainingTimeout, trainingTarget)
window.update()
#raise Exception("Program stopped!")
#Set up an object to store evolutionary parameters
params = GA.EvolutionObject()
params.popSize = popSize
params.iterations = iterations
params.mutate = mutate
params.extraParents = extraParents
params.originalParents = originalParents
params.trainingTimeout = trainingTimeout
params.trainingTarget = trainingTarget
#Start the program
GA.continuousEvolution(population, params, graphicsWindow = window)
