control_group = None
for filename in sys.argv[1:]:
base = path.basename(filename)
try:
# Determine the settings from the filename
problem, dup, ordering, nodes, mut, seed = base.split('_')
with open_file_method(filename)(filename, 'r') as f:
data = json.load(f)
version = dup, ordering, nodes, mut
if (dup, ordering) == ('skip', 'normal'):
control_group = version
statify[version].append(data[1]['evals'])
active[version].append(data[1]['phenotype'])
best = data[1]['bests'][-1]
test = data[1]['test_inputs']
individual = Individual.reconstruct_individual(best, test)
simplified = individual.new(Individual.simplify)
reduced[version].append(len(simplified.active))
filecount += 1
except ValueError:
print filename, "FAILED"
# Kruskal's requires a rectangular matrix
rect = make_rectangular(statify.values(), 10000001)
print 'Files Successfully Loaded', filecount
print 'Kruskal Wallis', kruskalwallis(rect)
for version, data in statify.iteritems():
print '--------- %s ---------' % str(version)
print "MES, MAD", median_deviation(data)
print 'Active', median_deviation(active[version])
control_group = None
for filename in sys.argv[1:]:
base = path.basename(filename)
try:
# Determine the settings from the filename
problem, dup, ordering, nodes, mut, seed = base.split('_')
with open_file_method(filename)(filename, 'r') as f:
data = json.load(f)
version = dup, ordering, nodes, mut
if (dup, ordering) == ('skip', 'normal'):
control_group = version
statify[version].append(data[1]['evals'])
active[version].append(data[1]['phenotype'])
best = data[1]['bests'][-1]
test = data[1]['test_inputs']
individual = Individual.reconstruct_individual(best, test)
simplified = individual.new(Individual.simplify)
reduced[version].append(len(simplified.active))
filecount += 1
except ValueError:
print(filename, "FAILED")
# Kruskal's requires a rectangular matrix
rect = make_rectangular(list(statify.values()), 10000001)
print('Files Successfully Loaded', filecount)
print('Kruskal Wallis', kruskalwallis(rect))
for version, data in statify.items():
print('--------- %s ---------' % str(version))
print("MES, MAD", median_deviation(data))
print('Active', median_deviation(active[version]))
