def launch_queue(self, jobs, plot_all):
"Launches a queue of jobs and returns the best run."
self.store.runs.remove({})
self.store.jobs.remove({})
for job in jobs:
self.store.jobs.insert(job)
# 3.
gaproject.run.main(self.data)
# 4.
results = Results()
results.print_()
if plot_all:
results.plotDifferentRuns()
best = results.find_one()
best_avg = average(best["fitness"])
for run in results.find():
run_avg = average(run["fitness"])
if run_avg < best_avg:
best = run
best_avg = run_avg
print "Best run so far:"
table = RunTable()
table.add_run(best)
print table
return best
def launch_queue(self, jobs, plot_all):
'Launches a queue of jobs and returns the best run.'
self.store.runs.remove({})
self.store.jobs.remove({})
for job in jobs:
self.store.jobs.insert(job)
# 3.
gaproject.run.main(self.data)
# 4.
results = Results()
results.print_()
if plot_all:
results.plotDifferentRuns()
best = results.find_one()
best_avg = average(best['fitness'])
for run in results.find():
run_avg = average(run['fitness'])
if run_avg < best_avg:
best = run
best_avg = run_avg
print 'Best run so far:'
table = RunTable()
table.add_run(best)
print table
return best
def print_job(self, job, data):
print 'Best run so far:'
table = RunTable()
table.add_run(job, data)
print table
def print_job(self, job, data):
print 'Best run so far:'
table = RunTable()
table.add_run(job, data)
print table