In [ ]:
import os
import pickle
import shutil
import Queue
import networkx as nx
import numpy as np
import pandas as pd
# from ghsom import main_no_labels as ghsom_main
# from ghsom_parallel import main as ghsom_main
# from ghsom_parallel_signal_frequency import main as ghsom_main
from ghsom_parallel_edge_constrained import main as ghsom_main
def save_obj(obj, name):
with open(name + '.pkl', 'wb') as f:
pickle.dump(obj, f, pickle.HIGHEST_PROTOCOL)
def load_obj(name):
with open(name + '.pkl', 'rb') as f:
return pickle.load(f)
root_dir = "/home/david/Documents/ghsom/hierarchical_exploration_constrained/"
# for data in ["yeast_reactome", "yeast_uetz", "collins", "ccsb", "ito_core", "lc_multiple"]:
for data in ["yeast_reactome"]:
print "data={}".format(data)
print
# for e_sg in [0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1]:
# for e_sg in [0.8, 0.7, 0.6, 0.5, 0.4]:
for e_sg in [0.8, 0.6, 0.5]:
print "e_sg={}".format(e_sg)
print
# for e_en in [0.7, 0.6, 0.5, 0.4, 0.3]:
# for e_en in [e_sg]:
for e_en in [0.3]:
print "e_en={}".format(e_en)
print
os.chdir(root_dir)
#ghsom parameters
params = {'eta': 0.001,
'sigma': 1,
'e_sg': e_sg,
'e_en': e_en}
map_file = '{}_hierarchy_communities_{}_{}'.format(data, e_sg, e_en)
if not os.path.isfile("{}.pkl".format(map_file)):
#run ghsom and save output
print "running GHSOM and saving to {}.pkl".format(map_file)
# G, map = ghsom_main(params, '../embedded_{}.gpickle'.format(data), lam=1000)
# save_obj((G, map), map_file)
# print '\nnumber of communities found: {}, saved maps to {}'.format(len(map), map_file)
G, networks = ghsom_main(params, '../embedded_{}.gpickle'.format(data), num_iter=1000, num_threads=5)
save_obj((G, networks), map_file)
print '\nnumber of maps grown: {}, saved maps to {}'.format(len(networks), map_file)
else:
print "{}.pkl already exists, loading maps".format(map_file)
#load output
# G, map = load_obj(map_file)
G, networks = load_obj(map_file)
#save results to file
dir_name = "{}_hierarchy_communities_{}_{}".format(data, e_sg, e_en)
if not os.path.isdir(dir_name):
# shutil.rmtree(dir_name)
os.mkdir(dir_name)
print 'made directory {}'.format(dir_name)
os.chdir(dir_name)
print "moved to {}".format(dir_name)
#all genes
all_genes_file = "all_genes.txt"
with open(all_genes_file, 'w') as f:
for n, d in G.nodes(data=True):
f.write("{}\n".format(n))
print "wrote {}".format(all_genes_file)
genes = G.nodes()
gene_assignments = {k: v for k, v in zip(genes,
np.array([["" for j in range(100)] for i in range(len(genes))], dtype="S100"))}
for map_id, network, e in networks[1:]:
#shortest path matrix
shortest_path = nx.floyd_warshall_numpy(network)
communities_in_this_map = np.array([v for k, v in nx.get_node_attributes(network, "ID").items()])
shortest_path_df = pd.DataFrame(shortest_path, index=communities_in_this_map)
shortest_path_file = "{}_shortest_path.csv".format(map_id)
shortest_path_df.to_csv(shortest_path_file, index=True, header=False, sep=',')
print 'wrote shortest path matrix and saved as {}'.format(shortest_path_file)
for n, d in network.nodes(data=True):
community_assignment = d["ID"]
layer = community_assignment.count("-")
for node in d["ls"]:
gene_assignments[node][layer] = community_assignment
# #map queue
# q = Queue.Queue()
# c = 1
# depth = 0
# q.put((c, depth, map))
# genes = G.nodes()
# gene_assignments = {k: v for k, v in zip(genes,
# np.array([["" for j in range(10)] for i in range(len(genes))], dtype="S20"))}
# while not q.empty():
# map_id, depth, map = q.get()
# c = 1
# #shortest path matrix
# communities_in_this_map = np.array(["{}-{}".format(str(map_id).zfill(2),
# str(i).zfill(2)) for i in range(c, c + len(map))])
# shortest_path = nx.floyd_warshall_numpy(map).astype(np.int)
# # shortest_path = np.insert(shortest_path, 0, communities_in_this_map, axis=1)
# shortest_path_df = pd.DataFrame(shortest_path, index=communities_in_this_map)
# shortest_path_file = "{}_shortest_path.csv".format(str(map_id).zfill(2))
# # np.savetxt(shortest_path_file, shortest_path, fmt='%i', delimiter=",")
# shortest_path_df.to_csv(shortest_path_file, index=True, header=False, sep=',')
# print 'wrote shortest path matrix and saved as {}'.format(shortest_path_file)
# #gene community assignments
# for n, d in map.nodes(data=True):
# community = communities_in_this_map[c - 1]
# for node in d['ls']:
# gene_assignments[node][depth] = community
# #add map to queue
# m = d['n']
# if not m == []:
# q.put((community, depth + 1, m))
# c += 1
#back to matrix
assignment_matrix = np.array([v for k, v in gene_assignments.items()])
#remove unnecessary columns
mask = assignment_matrix != ""
idx = mask.any(axis = 0)
assignment_matrix = assignment_matrix[:,idx]
assignment_matrix = np.insert(assignment_matrix, 0, "01", axis=1)
assignment_df = pd.DataFrame(assignment_matrix, index=genes)
assignment_file = "assignment_matrix.csv"
assignment_df.to_csv(assignment_file, index=True, header=False, sep=',')
print "wrote assignment matrix and saved it as {}".format(assignment_file)
print
print "DONE"
data=yeast_reactome
e_sg=0.8
e_en=0.3
running GHSOM and saving to yeast_reactome_hierarchy_communities_0.8_0.3.pkl
MQE_0=inf, growth_target=inf
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 1137, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 9303.8726991]
trained network
assigned nodes MQE=8.18596118615, target=inf
growth terminated, MQE: 8.18596118615, target: inf, number of deleted neurons: 0
submitted job: ID=01, e=8.18596118615, number of nodes=1137
MQE_0=8.18596118615, growth_target=6.54876894892
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 1137, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 1137, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 1137, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 1105.25280322 1496.98479492 4599.92324023]
trained network
assigned nodes MQE=3.09894620704, target=6.54876894892
growth terminated, MQE: 3.09894620704, target: 6.54876894892, number of deleted neurons: 0
submitted job: ID=01-03, e=4.95140552543, number of nodes=1020
MQE_0=4.95140552543, growth_target=3.96112442035
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 1020, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 1020, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 1020, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 2197.38142969 3656.12308619 2057.7699042 ]
trained network
assigned nodes MQE=5.93017685521, target=3.96112442035
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 76, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 1761.08036071 3402.93095492 1375.29223134 1792.28824488]
trained network
assigned nodes MQE=4.56983147501, target=3.96112442035
identified error unit: 3
INITIALISE WEIGHT, NUMBER OF NODES: 114, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 1752.08637928 3247.36759976 1127.23285184 1460.6068018 724.9281125 ]
trained network
assigned nodes MQE=4.22444726278, target=3.96112442035
identified error unit: 4
INITIALISE WEIGHT, NUMBER OF NODES: 156, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 1610.88469982 3277.13515499 1074.30839132 1191.06403075 485.72386256
1235.35158868]
trained network
assigned nodes MQE=4.09869249217, target=3.96112442035
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 26, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 1586.1826202 3251.08093259 1044.90068349 1172.32771238 417.01369616
1224.87221967 265.12763174]
trained network
assigned nodes MQE=3.81581406511, target=3.96112442035
growth terminated, MQE: 3.81581406511, target: 3.96112442035, number of deleted neurons: 0
MQE_0=4.3352576126, growth_target=3.46820609008MQE_0=4.08622438327, growth_target=3.26897950661submitted job: ID=01-03-02, e=4.3352576126, number of nodes=710
MQE_0=4.15530507494, growth_target=3.32424405995
computed shortest pathssubmitted job: ID=01-03-03, e=4.08622438327, number of nodes=59computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 59, CONNECTED: Truesubmitted job: ID=01-03-04, e=4.15530507494, number of nodes=52
INITIALISE WEIGHT, NUMBER OF NODES: 52, CONNECTED: TrueINITIALISE WEIGHT, NUMBER OF NODES: 59, CONNECTED: Truesubmitted job: ID=01-03-06, e=3.06442739666, number of nodes=113
MQE_0=3.06442739666, growth_target=2.45154191732INITIALISE WEIGHT, NUMBER OF NODES: 52, CONNECTED: TrueINITIALISE WEIGHT, NUMBER OF NODES: 59, CONNECTED: True
computed shortest pathsINITIALISE WEIGHT, NUMBER OF NODES: 52, CONNECTED: Trueinitialised network
INITIALISE WEIGHT, NUMBER OF NODES: 113, CONNECTED: Trueinitialised networkprecomputed sigmas
INITIALISE WEIGHT, NUMBER OF NODES: 113, CONNECTED: Trueprecomputed sigmas
INITIALISE WEIGHT, NUMBER OF NODES: 113, CONNECTED: True
initialised network
precomputed sigmas
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 710, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 710, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 710, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 123.85682183 81.02271329 81.02331368]
trained network
assigned nodes MQE=3.05181803759, target=3.32424405995
growth terminated, MQE: 3.05181803759, target: 3.32424405995, number of deleted neurons: 0
NET CHANGE AFTER TRAINING
[ 160.4491318 71.31279975 71.87161694]
trained network
assigned nodes MQE=1.98080429045, target=3.26897950661
growth terminated, MQE: 1.98080429045, target: 3.26897950661, number of deleted neurons: 0
submitted job: ID=01-03-03-01, e=3.93034600745, number of nodes=57
MQE_0=3.93034600745, growth_target=3.14427680596
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 57, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 57, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 57, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 111.3732295 189.61777407 107.32500745]
trained network
assigned nodes MQE=2.0932553651, target=2.45154191732
growth terminated, MQE: 2.0932553651, target: 2.45154191732, number of deleted neurons: 0
submitted job: ID=01-03-06-01, e=3.00049253599, number of nodes=75
MQE_0=3.00049253599, growth_target=2.40039402879
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 75, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 75, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 75, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 57.54003417 84.36555231 132.34354516]
trained network
assigned nodes MQE=2.91784847221, target=3.14427680596
growth terminated, MQE: 2.91784847221, target: 3.14427680596, number of deleted neurons: 0
NET CHANGE AFTER TRAINING
[ 71.76202282 84.60814203 152.96156311]
trained network
assigned nodes MQE=2.55491002351, target=2.40039402879
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 11, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 58.23303077 70.05046916 136.67257301 62.73787292]
trained network
assigned nodes MQE=1.98811004444, target=2.40039402879
growth terminated, MQE: 1.98811004444, target: 2.40039402879, number of deleted neurons: 0
submitted job: ID=01-03-06-01-03, e=2.74655290163, number of nodes=63
MQE_0=2.74655290163, growth_target=2.19724232131
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 63, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 63, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 63, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 55.92707379 81.06367464 83.76200738]
trained network
assigned nodes MQE=1.81164912167, target=2.19724232131
growth terminated, MQE: 1.81164912167, target: 2.19724232131, number of deleted neurons: 0
submitted job: ID=01-03-06-01-03-03, e=2.76320910115, number of nodes=59
MQE_0=2.76320910115, growth_target=2.21056728092
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 59, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 59, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 59, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 51.59097916 47.6042398 101.97996536]
trained network
assigned nodes MQE=2.17114070092, target=2.21056728092
growth terminated, MQE: 2.17114070092, target: 2.21056728092, number of deleted neurons: 0
NET CHANGE AFTER TRAINING
[ 1199.81940029 1323.32455289 752.55315252]
trained network
assigned nodes MQE=3.33956492229, target=3.46820609008
growth terminated, MQE: 3.33956492229, target: 3.46820609008, number of deleted neurons: 0
submitted job: ID=01-03-02-01, e=3.6322897597, number of nodes=455
submitted job: ID=01-03-02-02, e=2.51376037283, number of nodes=178MQE_0=3.6322897597, growth_target=2.90583180776
MQE_0=3.87264463434, growth_target=3.09811570748submitted job: ID=01-03-02-03, e=3.87264463434, number of nodes=77
computed shortest pathsMQE_0=2.51376037283, growth_target=2.01100829826
computed shortest pathsINITIALISE WEIGHT, NUMBER OF NODES: 77, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 178, CONNECTED: TrueINITIALISE WEIGHT, NUMBER OF NODES: 77, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 178, CONNECTED: TrueINITIALISE WEIGHT, NUMBER OF NODES: 77, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 178, CONNECTED: Trueinitialised network
initialised networkprecomputed sigmas
precomputed sigmas
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 455, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 455, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 455, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 119.8188439 85.81139318 114.24012278]
trained network
assigned nodes MQE=2.73157626837, target=3.09811570748
growth terminated, MQE: 2.73157626837, target: 3.09811570748, number of deleted neurons: 0
NET CHANGE AFTER TRAINING
[ 232.98114067 191.57481433 140.37432532]
trained network
assigned nodes MQE=1.86360938362, target=2.01100829826
growth terminated, MQE: 1.86360938362, target: 2.01100829826, number of deleted neurons: 0
submitted job: ID=01-03-02-02-01, e=2.33480527071, number of nodes=165
MQE_0=2.33480527071, growth_target=1.86784421657
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 165, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 165, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 165, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 140.22238773 234.97624198 135.80807438]
trained network
assigned nodes MQE=2.22091537436, target=1.86784421657
identified error unit: 3
INITIALISE WEIGHT, NUMBER OF NODES: 104, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 465.29954687 1050.98060521 372.90915633]
trained network
assigned nodes MQE=3.05190277824, target=2.90583180776
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 82, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 131.54192737 224.24723115 131.3725099 61.67833812]
trained network
assigned nodes MQE=1.33671426503, target=1.86784421657
growth terminated, MQE: 1.33671426503, target: 1.86784421657, number of deleted neurons: 0
submitted job: ID=01-03-02-02-01-02, e=2.33999516637, number of nodes=162
MQE_0=2.33999516637, growth_target=1.8719961331
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 162, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 162, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 162, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 115.86799844 300.98385061 101.65470428]
trained network
assigned nodes MQE=1.79541618358, target=1.8719961331
growth terminated, MQE: 1.79541618358, target: 1.8719961331, number of deleted neurons: 0
submitted job: ID=01-03-02-02-01-02-02, e=2.29785597563, number of nodes=149
MQE_0=2.29785597563, growth_target=1.8382847805
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 149, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 149, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 149, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 93.03463881 253.00211153 220.16370552]
trained network
assigned nodes MQE=2.4001892824, target=1.8382847805
identified error unit: 3
INITIALISE WEIGHT, NUMBER OF NODES: 114, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 341.66046866 914.38134548 315.61637818 457.72604663]
trained network
assigned nodes MQE=2.52327147049, target=2.90583180776
growth terminated, MQE: 2.52327147049, target: 2.90583180776, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02, e=2.66525259122, number of nodes=346
MQE_0=2.66525259122, growth_target=2.13220207298submitted job: ID=01-03-02-01-04, e=2.80871856506, number of nodes=73
MQE_0=2.80871856506, growth_target=2.24697485205
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 73, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 73, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 73, CONNECTED: True
initialised network
precomputed sigmas
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 346, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 346, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 346, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 78.42063501 215.42682381 187.86860702 127.48391147]
trained network
assigned nodes MQE=2.30191851863, target=1.8382847805
identified error unit: 3
INITIALISE WEIGHT, NUMBER OF NODES: 104, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 123.87087681 83.35972033 44.24628784]
trained network
assigned nodes MQE=2.19073766997, target=2.24697485205
growth terminated, MQE: 2.19073766997, target: 2.24697485205, number of deleted neurons: 0
submitted job: ID=01-03-02-01-04-01, e=2.43685823081, number of nodes=55
MQE_0=2.43685823081, growth_target=1.94948658465
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 55, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 55, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 55, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 55.7842932 56.65579766 55.74359499]
trained network
assigned nodes MQE=1.84848977425, target=1.94948658465
growth terminated, MQE: 1.84848977425, target: 1.94948658465, number of deleted neurons: 0
NET CHANGE AFTER TRAINING
[ 48.63385021 139.92042036 109.59431373 57.61586935 196.00394091]
trained network
assigned nodes MQE=2.07190020119, target=1.8382847805
identified error unit: 5
INITIALISE WEIGHT, NUMBER OF NODES: 100, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 192.7324259 853.09596844 219.64491294]
trained network
assigned nodes MQE=2.63377493174, target=2.13220207298
identified error unit: 3
INITIALISE WEIGHT, NUMBER OF NODES: 35, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 40.52660226 119.68798217 85.9721998 49.57542601 175.43584886
89.30496999]
trained network
assigned nodes MQE=2.11064581196, target=1.8382847805
identified error unit: 5
INITIALISE WEIGHT, NUMBER OF NODES: 53, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 39.48396855 112.88945332 78.1898313 48.35667356 144.21679757
89.42581597 62.03643417]
trained network
assigned nodes MQE=1.9841452531, target=1.8382847805
identified error unit: 5
INITIALISE WEIGHT, NUMBER OF NODES: 45, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 164.97225097 787.39526252 205.75826394 238.67036273]
trained network
assigned nodes MQE=1.83456622773, target=2.13220207298
growth terminated, MQE: 1.83456622773, target: 2.13220207298, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02, e=2.66417300789, number of nodes=339
MQE_0=2.66417300789, growth_target=2.13133840631
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 339, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 339, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 339, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 37.80461008 112.88824797 68.74369209 46.1657825 122.3787151
82.51183823 54.40667481 61.9956773 ]
trained network
assigned nodes MQE=1.93622161634, target=1.8382847805
identified error unit: 7
INITIALISE WEIGHT, NUMBER OF NODES: 13, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 37.70922436 112.32930819 68.19156303 45.99391865 123.72463649
79.57209978 43.88653132 60.34144052 40.51610167]
trained network
assigned nodes MQE=1.76784970737, target=1.8382847805
growth terminated, MQE: 1.76784970737, target: 1.8382847805, number of deleted neurons: 0
submitted job: ID=01-03-02-02-01-02-02-05, e=2.11336492679, number of nodes=62
MQE_0=2.11336492679, growth_target=1.69069194143
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 62, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 62, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 62, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 59.33691348 61.58461119 58.12302812]
trained network
assigned nodes MQE=1.94640748217, target=1.69069194143
identified error unit: 3
INITIALISE WEIGHT, NUMBER OF NODES: 29, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 51.85379137 52.03266655 46.49387917 37.83644461]
trained network
assigned nodes MQE=1.53513710661, target=1.69069194143
growth terminated, MQE: 1.53513710661, target: 1.69069194143, number of deleted neurons: 0
NET CHANGE AFTER TRAINING
[ 350.20773049 234.27156307 841.81873809]
trained network
assigned nodes MQE=3.08052402195, target=2.13133840631
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 74, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 324.02383941 223.96396954 808.66238242 314.56329861]
trained network
assigned nodes MQE=2.99704047962, target=2.13133840631
identified error unit: 4
INITIALISE WEIGHT, NUMBER OF NODES: 13, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 308.6692356 220.3789738 804.95270706 304.95152845 78.2110607 ]
trained network
assigned nodes MQE=2.73418235637, target=2.13133840631
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 61, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 242.10127328 163.01588509 609.74629123 222.52199819 49.82223251
387.86821335]
trained network
assigned nodes MQE=2.72328004756, target=2.13133840631
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 29, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 226.46612934 146.57044982 555.42645078 198.20874493 45.29248197
310.82635171 222.98180401]
trained network
assigned nodes MQE=2.82964343087, target=2.13133840631
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 18, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 207.90674801 132.19993766 461.60071547 179.51835591 40.40341748
218.68723691 204.60963538 203.79694805]
trained network
assigned nodes MQE=2.41696395948, target=2.13133840631
identified error unit: 6
INITIALISE WEIGHT, NUMBER OF NODES: 127, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 207.84584947 127.8846513 424.29679809 172.31989805 40.04511124
178.31098121 176.85391931 156.64826739 153.07389832]
trained network
assigned nodes MQE=2.4579393789, target=2.13133840631
identified error unit: 7
INITIALISE WEIGHT, NUMBER OF NODES: 104, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 123.44439332 94.24066875 226.90077442 113.80936239 27.86322834
86.77400218 141.76417084 86.69327157 81.3363256 415.97721156]
trained network
assigned nodes MQE=2.30939983525, target=2.13133840631
identified error unit: 4
INITIALISE WEIGHT, NUMBER OF NODES: 8, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 118.76057627 93.85150547 219.37455243 97.30107325 27.62230296
85.98203335 140.96807662 86.24957373 81.05882363 417.97896661
23.80488531]
trained network
assigned nodes MQE=2.09645598041, target=2.13133840631
growth terminated, MQE: 2.09645598041, target: 2.13133840631, number of deleted neurons: 0
MQE_0=2.13332248502, growth_target=1.70665798802submitted job: ID=01-03-02-01-02-02-03, e=2.13332248502, number of nodes=128
submitted job: ID=01-03-02-01-02-02-10, e=2.2974141253, number of nodes=98computed shortest paths
MQE_0=2.2974141253, growth_target=1.83793130024INITIALISE WEIGHT, NUMBER OF NODES: 128, CONNECTED: True
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 128, CONNECTED: TrueINITIALISE WEIGHT, NUMBER OF NODES: 98, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 128, CONNECTED: TrueINITIALISE WEIGHT, NUMBER OF NODES: 98, CONNECTED: True
initialised network
INITIALISE WEIGHT, NUMBER OF NODES: 98, CONNECTED: Trueprecomputed sigmas
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 77.11704873 284.51257082 76.64405979]
trained network
assigned nodes MQE=1.97358313054, target=1.83793130024
identified error unit: 2
INITIALISE WEIGHT, NUMBER OF NODES: 93, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 116.70173224 119.50926476 111.82736768]
trained network
assigned nodes MQE=1.38082663514, target=1.70665798802
growth terminated, MQE: 1.38082663514, target: 1.70665798802, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01, e=2.1354524758, number of nodes=126
MQE_0=2.1354524758, growth_target=1.70836198064
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 126, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 126, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 126, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 76.7150526 153.90111523 46.12811294 162.95841663]
trained network
assigned nodes MQE=1.89998093647, target=1.83793130024
identified error unit: 4
INITIALISE WEIGHT, NUMBER OF NODES: 89, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 65.2476059 145.62645653 142.96681312]
trained network
assigned nodes MQE=1.64373767412, target=1.70836198064
growth terminated, MQE: 1.64373767412, target: 1.70836198064, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03, e=2.09285185258, number of nodes=119
MQE_0=2.09285185258, growth_target=1.67428148207
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 119, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 119, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 119, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 58.56255869 121.11832455 35.85828862 130.98569591 103.78613289]
trained network
assigned nodes MQE=1.95464512271, target=1.83793130024
identified error unit: 2
INITIALISE WEIGHT, NUMBER OF NODES: 84, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 138.27649196 60.98083982 129.10370946]
trained network
assigned nodes MQE=1.60942200245, target=1.67428148207
growth terminated, MQE: 1.60942200245, target: 1.67428148207, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01, e=2.0269402154, number of nodes=113
MQE_0=2.0269402154, growth_target=1.62155217232
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 113, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 113, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 113, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 43.35811909 90.49153303 28.58450971 80.98856515 77.52555171
109.93973849]
trained network
assigned nodes MQE=1.89459167786, target=1.83793130024
identified error unit: 6
INITIALISE WEIGHT, NUMBER OF NODES: 80, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 98.25872569 98.13658264 95.57276306]
trained network
assigned nodes MQE=1.34421033395, target=1.62155217232
growth terminated, MQE: 1.34421033395, target: 1.62155217232, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02, e=2.02755370974, number of nodes=111
MQE_0=2.02755370974, growth_target=1.62204296779
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 111, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 111, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 111, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 39.91055332 86.67097672 27.03510477 73.88529237 67.5062682
80.77264436 64.80689818]
trained network
assigned nodes MQE=1.99769026978, target=1.83793130024
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 10, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 98.65274996 93.82555173 94.28604248]
trained network
assigned nodes MQE=1.34456759277, target=1.62204296779
growth terminated, MQE: 1.34456759277, target: 1.62204296779, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01, e=2.0278685776, number of nodes=109
MQE_0=2.0278685776, growth_target=1.62229486208
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 109, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 109, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 109, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 36.87823207 84.12619415 21.02766779 67.43883547 62.97134241
75.58383291 60.2844393 31.46780052]
MQE_0=2.88939212427, growth_target=2.31151369942trained network
computed shortest pathsassigned nodes MQE=1.83284953311, target=1.83793130024
INITIALISE WEIGHT, NUMBER OF NODES: 72, CONNECTED: Truegrowth terminated, MQE: 1.83284953311, target: 1.83793130024, number of deleted neurons: 0
INITIALISE WEIGHT, NUMBER OF NODES: 72, CONNECTED: Truesubmitted job: ID=01-03-02-01-02-02-10-07, e=2.88939212427, number of nodes=72
INITIALISE WEIGHT, NUMBER OF NODES: 72, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 119.18366012 68.2989679 70.62391691]
trained network
assigned nodes MQE=2.20888307655, target=2.31151369942
growth terminated, MQE: 2.20888307655, target: 2.31151369942, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-10-07-02, e=2.94485983845, number of nodes=53
MQE_0=2.94485983845, growth_target=2.35588787076
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 53, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 53, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 53, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 81.75581629 117.14907356 79.69639148]
trained network
assigned nodes MQE=1.50120063098, target=1.62229486208
growth terminated, MQE: 1.50120063098, target: 1.62229486208, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02, e=2.00097479257, number of nodes=106
MQE_0=2.00097479257, growth_target=1.60077983406
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 106, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 106, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 106, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 31.55613853 29.61364334 97.37577023]
trained network
assigned nodes MQE=1.65407660942, target=2.35588787076
growth terminated, MQE: 1.65407660942, target: 2.35588787076, number of deleted neurons: 0
NET CHANGE AFTER TRAINING
[ 90.03782634 92.88690469 90.9699532 ]
trained network
assigned nodes MQE=1.34476627972, target=1.60077983406
growth terminated, MQE: 1.34476627972, target: 1.60077983406, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01, e=2.0302910374, number of nodes=104
MQE_0=2.0302910374, growth_target=1.62423282992
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 104, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 104, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 104, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 91.4326438 90.80342698 86.5260102 ]
trained network
assigned nodes MQE=1.51144763607, target=1.62423282992
growth terminated, MQE: 1.51144763607, target: 1.62423282992, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03, e=2.0312183272, number of nodes=101
MQE_0=2.0312183272, growth_target=1.62497466176
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 101, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 101, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 101, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 87.06514246 87.52141506 86.4085003 ]
trained network
assigned nodes MQE=1.34559616911, target=1.62497466176
growth terminated, MQE: 1.34559616911, target: 1.62497466176, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03, e=2.03074988175, number of nodes=99
MQE_0=2.03074988175, growth_target=1.6245999054
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 99, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 99, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 99, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 83.80205912 85.45868602 86.54443632]
trained network
assigned nodes MQE=1.34581111522, target=1.6245999054
growth terminated, MQE: 1.34581111522, target: 1.6245999054, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03, e=2.03243159119, number of nodes=97
MQE_0=2.03243159119, growth_target=1.62594527295
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 97, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 97, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 97, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 83.91849554 83.88751843 82.87004019]
trained network
assigned nodes MQE=1.34575372734, target=1.62594527295
growth terminated, MQE: 1.34575372734, target: 1.62594527295, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01, e=2.03311584665, number of nodes=95
MQE_0=2.03311584665, growth_target=1.62649267732
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 95, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 95, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 95, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 80.97833345 81.77278573 82.81773219]
trained network
assigned nodes MQE=1.34626921957, target=1.62649267732
growth terminated, MQE: 1.34626921957, target: 1.62649267732, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01, e=2.03374277737, number of nodes=93
MQE_0=2.03374277737, growth_target=1.6269942219
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 93, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 93, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 93, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 80.91549432 80.21181794 79.53176131]
trained network
assigned nodes MQE=1.34616001724, target=1.6269942219
growth terminated, MQE: 1.34616001724, target: 1.6269942219, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01, e=2.03339517378, number of nodes=91
MQE_0=2.03339517378, growth_target=1.62671613902
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 91, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 91, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 91, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 78.09063991 77.5327001 79.75948155]
trained network
assigned nodes MQE=1.34639447104, target=1.62671613902
growth terminated, MQE: 1.34639447104, target: 1.62671613902, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02, e=2.03523606592, number of nodes=89
MQE_0=2.03523606592, growth_target=1.62818885274
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 89, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 89, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 89, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 77.32169587 76.69019307 76.24307821]
trained network
assigned nodes MQE=1.34637789569, target=1.62818885274
growth terminated, MQE: 1.34637789569, target: 1.62818885274, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01, e=2.03592815489, number of nodes=87
MQE_0=2.03592815489, growth_target=1.62874252391
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 87, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 87, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 87, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 75.57960349 74.10476972 75.54785324]
trained network
assigned nodes MQE=1.34726713694, target=1.62874252391
growth terminated, MQE: 1.34726713694, target: 1.62874252391, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02, e=2.03684213348, number of nodes=85
MQE_0=2.03684213348, growth_target=1.62947370678
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 85, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 85, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 85, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 71.02550493 75.72715822 73.22521585]
trained network
assigned nodes MQE=1.34789497631, target=1.62947370678
growth terminated, MQE: 1.34789497631, target: 1.62947370678, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03, e=2.03769507106, number of nodes=83
MQE_0=2.03769507106, growth_target=1.63015605685
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 83, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 83, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 83, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 69.75774759 74.13173122 70.91841253]
trained network
assigned nodes MQE=1.34720329796, target=1.63015605685
growth terminated, MQE: 1.34720329796, target: 1.63015605685, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03, e=2.03753736587, number of nodes=81
MQE_0=2.03753736587, growth_target=1.63002989269
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 81, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 81, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 81, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 71.9133537 68.80390211 69.07641287]
trained network
assigned nodes MQE=1.34751088493, target=1.63002989269
growth terminated, MQE: 1.34751088493, target: 1.63002989269, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03, e=2.03846488506, number of nodes=79
MQE_0=2.03846488506, growth_target=1.63077190804
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 79, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 79, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 79, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 68.08961439 68.63625808 67.92063166]
trained network
assigned nodes MQE=1.34850033291, target=1.63077190804
growth terminated, MQE: 1.34850033291, target: 1.63077190804, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03, e=2.03954279755, number of nodes=77
MQE_0=2.03954279755, growth_target=1.63163423804
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 77, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 77, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 77, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 67.3813817 67.20679539 65.02752838]
trained network
assigned nodes MQE=1.34856690853, target=1.63163423804
growth terminated, MQE: 1.34856690853, target: 1.63163423804, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01, e=2.04052792923, number of nodes=75
MQE_0=2.04052792923, growth_target=1.63242234338
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 75, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 75, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 75, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 65.63145435 64.94866072 63.82453636]
trained network
assigned nodes MQE=1.34917589545, target=1.63242234338
growth terminated, MQE: 1.34917589545, target: 1.63242234338, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03, e=2.04264315645, number of nodes=73
MQE_0=2.04264315645, growth_target=1.63411452516
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 73, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 73, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 73, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 65.4902304 62.4819851 61.27919485]
trained network
assigned nodes MQE=1.34958628415, target=1.63411452516
growth terminated, MQE: 1.34958628415, target: 1.63411452516, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01, e=2.04279010448, number of nodes=71
MQE_0=2.04279010448, growth_target=1.63423208358
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 71, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 71, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 71, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 61.03110105 61.98490092 61.06315947]
trained network
assigned nodes MQE=1.34967697811, target=1.63423208358
growth terminated, MQE: 1.34967697811, target: 1.63423208358, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01-03, e=2.04494813856, number of nodes=69
MQE_0=2.04494813856, growth_target=1.63595851085
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 69, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 69, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 69, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 58.69018119 59.77977648 60.50402257]
trained network
assigned nodes MQE=1.35043929606, target=1.63595851085
growth terminated, MQE: 1.35043929606, target: 1.63595851085, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01-03-03, e=2.04636481025, number of nodes=67
MQE_0=2.04636481025, growth_target=1.6370918482
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 67, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 67, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 67, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 49.35376224 72.60018242 48.94241293]
trained network
assigned nodes MQE=1.33475135465, target=1.6370918482
growth terminated, MQE: 1.33475135465, target: 1.6370918482, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01-03-03-02, e=2.000939251, number of nodes=65
MQE_0=2.000939251, growth_target=1.6007514008
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 65, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 65, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 65, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 55.85711957 56.3004378 56.53331275]
trained network
assigned nodes MQE=1.35104508589, target=1.6007514008
growth terminated, MQE: 1.35104508589, target: 1.6007514008, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01-03-03-02-02, e=2.04911192694, number of nodes=63
MQE_0=2.04911192694, growth_target=1.63928954155
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 63, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 63, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 63, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 54.72819862 53.74179517 55.07400161]
trained network
assigned nodes MQE=1.35123682127, target=1.63928954155
growth terminated, MQE: 1.35123682127, target: 1.63928954155, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01-03-03-02-02-02, e=2.04963960536, number of nodes=61
MQE_0=2.04963960536, growth_target=1.63971168429
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 61, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 61, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 61, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 53.54187063 52.55237052 52.39513147]
trained network
assigned nodes MQE=1.35277639737, target=1.63971168429
growth terminated, MQE: 1.35277639737, target: 1.63971168429, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01-03-03-02-02-02-01, e=2.05231718489, number of nodes=59
MQE_0=2.05231718489, growth_target=1.64185374791
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 59, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 59, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 59, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 65.62051917 42.16930365 42.76640178]
trained network
assigned nodes MQE=1.3345835049, target=1.64185374791
growth terminated, MQE: 1.3345835049, target: 1.64185374791, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01-03-03-02-02-02-01-01, e=2.00104425455, number of nodes=57
MQE_0=2.00104425455, growth_target=1.60083540364
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 57, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 57, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 57, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 40.94447108 62.11306943 42.18455008]
trained network
assigned nodes MQE=1.33477760201, target=1.60083540364
growth terminated, MQE: 1.33477760201, target: 1.60083540364, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01-03-03-02-02-02-01-01-02, e=2.0010727071, number of nodes=55
MQE_0=2.0010727071, growth_target=1.60085816568
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 55, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 55, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 55, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 47.5323982 47.09921969 48.48041042]
trained network
assigned nodes MQE=1.3537750555, target=1.60085816568
growth terminated, MQE: 1.3537750555, target: 1.60085816568, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01-03-03-02-02-02-01-01-02-02, e=2.05812707478, number of nodes=53
MQE_0=2.05812707478, growth_target=1.64650165982
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 53, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 53, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 53, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 46.72182811 46.39826937 44.92830375]
trained network
assigned nodes MQE=1.35476368066, target=1.64650165982
growth terminated, MQE: 1.35476368066, target: 1.64650165982, number of deleted neurons: 0
submitted job: ID=01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01-03-03-02-02-02-01-01-02-02-01, e=2.05932903444, number of nodes=51
MQE_0=2.05932903444, growth_target=1.64746322755
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 51, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 51, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 51, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 44.15056955 44.65115131 44.17079124]
trained network
assigned nodes MQE=1.35556103619, target=1.64746322755
growth terminated, MQE: 1.35556103619, target: 1.64746322755, number of deleted neurons: 0
DONE
number of maps grown: 59, saved maps to yeast_reactome_hierarchy_communities_0.8_0.3
made directory yeast_reactome_hierarchy_communities_0.8_0.3
moved to yeast_reactome_hierarchy_communities_0.8_0.3
wrote all_genes.txt
wrote shortest path matrix and saved as 01_shortest_path.csv
wrote shortest path matrix and saved as 01-03_shortest_path.csv
wrote shortest path matrix and saved as 01-03-04_shortest_path.csv
wrote shortest path matrix and saved as 01-03-03_shortest_path.csv
wrote shortest path matrix and saved as 01-03-06_shortest_path.csv
wrote shortest path matrix and saved as 01-03-03-01_shortest_path.csv
wrote shortest path matrix and saved as 01-03-06-01_shortest_path.csv
wrote shortest path matrix and saved as 01-03-06-01-03_shortest_path.csv
wrote shortest path matrix and saved as 01-03-06-01-03-03_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-03_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-02-01_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-02-01-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-04_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-04-01_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-02-01-02-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-02-01-02-02-05_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-10_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-10-07_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-10-07-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01-03_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01-03-03_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01-03-03-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01-03-03-02-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01-03-03-02-02-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01-03-03-02-02-02-01_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01-03-03-02-02-02-01-01_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01-03-03-02-02-02-01-01-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01-03-03-02-02-02-01-01-02-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-01-02-02-03-01-03-01-02-01-02-01-03-03-03-01-01-01-02-01-02-03-03-03-03-01-03-01-03-03-02-02-02-01-01-02-02-01_shortest_path.csv
wrote assignment matrix and saved it as assignment_matrix.csv
e_sg=0.6
e_en=0.3
yeast_reactome_hierarchy_communities_0.6_0.3.pkl already exists, loading maps
moved to yeast_reactome_hierarchy_communities_0.6_0.3
wrote all_genes.txt
wrote shortest path matrix and saved as 01_shortest_path.csv
wrote shortest path matrix and saved as 01-01_shortest_path.csv
wrote shortest path matrix and saved as 01-03_shortest_path.csv
wrote shortest path matrix and saved as 01-03-03_shortest_path.csv
wrote shortest path matrix and saved as 01-04_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-03-05_shortest_path.csv
wrote shortest path matrix and saved as 01-03-03-06_shortest_path.csv
wrote shortest path matrix and saved as 01-04-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-01_shortest_path.csv
wrote shortest path matrix and saved as 01-04-01_shortest_path.csv
wrote shortest path matrix and saved as 01-04-04_shortest_path.csv
wrote shortest path matrix and saved as 01-04-02-01_shortest_path.csv
wrote shortest path matrix and saved as 01-04-02-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-04_shortest_path.csv
wrote shortest path matrix and saved as 01-04-05_shortest_path.csv
wrote shortest path matrix and saved as 01-04-01-05_shortest_path.csv
wrote shortest path matrix and saved as 01-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-01-07_shortest_path.csv
wrote shortest path matrix and saved as 01-03-01-09_shortest_path.csv
wrote shortest path matrix and saved as 01-03-04-02_shortest_path.csv
wrote shortest path matrix and saved as 01-04-04-05_shortest_path.csv
wrote shortest path matrix and saved as 01-04-05-04_shortest_path.csv
wrote shortest path matrix and saved as 01-03-02-03_shortest_path.csv
wrote shortest path matrix and saved as 01-03-04-05_shortest_path.csv
wrote shortest path matrix and saved as 01-04-05-02_shortest_path.csv
wrote shortest path matrix and saved as 01-02-02_shortest_path.csv
wrote shortest path matrix and saved as 01-03-04-03_shortest_path.csv
wrote shortest path matrix and saved as 01-03-04-03-05_shortest_path.csv
wrote shortest path matrix and saved as 01-03-04-03-05-01_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-01_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-01-01_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-08_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-08-01_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-08-01-05_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-08-01-05-05_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-09_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-08-01-05-05-05_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-08-01-05-05-05-05_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-08-01-05-05-05-05-04_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-08-01-05-05-05-05-04-06_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-09-06_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-09-06-06_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-09-06-06-03_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-09-06-06-03-06_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-09-06-06-03-06-04_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-09-06-06-03-06-04-04_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-09-06-06-03-06-04-04-04_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-09-06-06-03-06-04-04-04-05_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-04_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-05_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-14_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-09-06-06-03-06-04-04-04-05-05_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-06_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-04-04_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-14-04_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-05-01_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-04-04-05_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-05-01-04_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-09-06-06-03-06-04-04-04-05-05-02_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-06-05_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-09-06-06-03-06-04-04-04-05-05-02-07_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-09-06-06-03-06-04-04-04-05-05-02-07-06_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-10_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-09-06-06-03-06-04-04-04-05-05-02-07-06-07_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-06-05-02_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-10-05_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-10-01_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-10-02_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-10-06_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-10-09_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-10-01-05_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-09-06-06-03-06-04-04-04-05-05-02-07-06-07-02_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-10-01-05-03_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-09-06-06-03-06-04-04-04-05-05-02-07-06-07-02-06_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-10-01-05-03-05_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-09-06-06-03-06-04-04-04-05-05-02-07-06-07-02-06-04_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-10-01-05-03-05-04_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-09-06-06-03-06-04-04-04-05-05-02-07-06-07-02-06-04-05_shortest_path.csv
wrote shortest path matrix and saved as 01-02-03-09-06-06-03-06-04-04-04-05-05-02-07-06-07-02-06-04-05-05_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-03_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-03-03_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-03-08_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-03-03-04_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-03-10_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-03-14_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-03-10-10_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-03-10-10-05_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-03-10-10-05-01_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-03-10-10-05-01-08_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-03-10-10-05-01-08-04_shortest_path.csv
wrote shortest path matrix and saved as 01-02-01-03-10-10-05-01-08-04-03_shortest_path.csv
wrote assignment matrix and saved it as assignment_matrix.csv
e_sg=0.5
e_en=0.3
running GHSOM and saving to yeast_reactome_hierarchy_communities_0.5_0.3.pkl
MQE_0=inf, growth_target=inf
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 1137, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 7767.18485531]
trained network
assigned nodes MQE=6.83012037758, target=inf
growth terminated, MQE: 6.83012037758, target: inf, number of deleted neurons: 0
submitted job: ID=01, e=6.83012037758, number of nodes=1137
MQE_0=6.83012037758, growth_target=3.41506018879
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 1137, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 1137, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 1137, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 2863.52299377 2792.41801864 1838.52425548]
trained network
assigned nodes MQE=4.87446972516, target=3.41506018879
identified error unit: 2
INITIALISE WEIGHT, NUMBER OF NODES: 333, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 2573.62417655 1731.3201773 1806.53440206 1376.31970349]
trained network
assigned nodes MQE=4.64744759468, target=3.41506018879
identified error unit: 2
INITIALISE WEIGHT, NUMBER OF NODES: 169, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 2482.79963141 1437.85763387 1705.67854021 1369.54189168 708.01327697]
trained network
DELETING NODES: [5]
assigned nodes MQE=4.62458872783, target=3.41506018879
identified error unit: 2
INITIALISE WEIGHT, NUMBER OF NODES: 131, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 2144.17363408 1478.54433548 1401.98776252 1155.79458777 1110.31860677]
trained network
assigned nodes MQE=4.29169781449, target=3.41506018879
identified error unit: 2
INITIALISE WEIGHT, NUMBER OF NODES: 84, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 1700.20876015 1372.40468256 1214.51469884 1060.88018776 849.48378567
1023.58189918]
trained network
assigned nodes MQE=4.27870044289, target=3.41506018879
identified error unit: 2
INITIALISE WEIGHT, NUMBER OF NODES: 59, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 1687.52023271 1312.20545226 1199.23474736 1058.35375036 835.25182014
1012.80176095 577.86303675]
trained network
assigned nodes MQE=4.0048623687, target=3.41506018879
identified error unit: 2
INITIALISE WEIGHT, NUMBER OF NODES: 62, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 1636.15328967 1098.34498081 1117.02554196 961.64653735 781.54623079
954.20260337 491.58211136 561.21841762]
trained network
assigned nodes MQE=3.68153418929, target=3.41506018879
identified error unit: 8
INITIALISE WEIGHT, NUMBER OF NODES: 72, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 1608.57251734 1023.68643585 1056.6556428 787.14493704 741.4270463
915.15351965 431.7403338 454.9271351 497.13849069]
trained network
assigned nodes MQE=3.8429327589, target=3.41506018879
identified error unit: 8
INITIALISE WEIGHT, NUMBER OF NODES: 26, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 1602.89659954 995.11799997 1044.35792787 776.37853193 735.04363793
910.18484828 420.00318674 454.40787019 358.58434831 248.09401798]
trained network
assigned nodes MQE=3.626074577, target=3.41506018879
identified error unit: 8
INITIALISE WEIGHT, NUMBER OF NODES: 23, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 1590.13642508 964.35181717 1025.57949685 737.53065178 699.24526271
885.92449016 409.85152174 405.43373994 361.53695766 215.16585388
223.31438287]
trained network
assigned nodes MQE=3.46112295767, target=3.41506018879
identified error unit: 8
INITIALISE WEIGHT, NUMBER OF NODES: 11, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 1590.71357344 954.36990789 1024.03185956 727.45894855 698.81499257
884.02951588 409.26271368 364.04999239 364.82620729 203.18548047
213.61340539 148.02068762]
trained network
assigned nodes MQE=3.26578722015, target=3.41506018879
growth terminated, MQE: 3.26578722015, target: 3.41506018879, number of deleted neurons: 1MQE_0=3.82210557682, growth_target=1.91105278841
MQE_0=3.5917371049, growth_target=1.79586855245submitted job: ID=01-01, e=3.5917371049, number of nodes=554MQE_0=3.83983840495, growth_target=1.91991920248
MQE_0=3.35441123963, growth_target=1.67720561982
computed shortest paths
submitted job: ID=01-04, e=3.82210557682, number of nodes=157
computed shortest pathsINITIALISE WEIGHT, NUMBER OF NODES: 157, CONNECTED: Truecomputed shortest pathssubmitted job: ID=01-05, e=3.35441123963, number of nodes=108
INITIALISE WEIGHT, NUMBER OF NODES: 167, CONNECTED: True INITIALISE WEIGHT, NUMBER OF NODES: 108, CONNECTED: Truesubmitted job: ID=01-06, e=3.83983840495, number of nodes=167
INITIALISE WEIGHT, NUMBER OF NODES: 157, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 167, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 108, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 157, CONNECTED: True
submitted job: ID=01-09, e=4.88943221282, number of nodes=63INITIALISE WEIGHT, NUMBER OF NODES: 167, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 108, CONNECTED: True
initialised network
MQE_0=4.88943221282, growth_target=2.44471610641initialised network
initialised network
precomputed sigmas
computed shortest pathsprecomputed sigmas
precomputed sigmas
INITIALISE WEIGHT, NUMBER OF NODES: 63, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 63, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 63, CONNECTED: True
initialised network
precomputed sigmas
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 554, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 554, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 554, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 102.34096792 107.53691086 140.37553034]
trained network
assigned nodes MQE=3.69667315304, target=2.44471610641
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 23, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 190.22362024 139.51142699 120.7153279 ]
trained network
assigned nodes MQE=2.75816270462, target=1.67720561982
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 81, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 71.64923566 70.54729918 116.66383911 83.00727847]
trained network
assigned nodes MQE=2.7287179963, target=2.44471610641
identified error unit: 4
INITIALISE WEIGHT, NUMBER OF NODES: 31, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 225.24119989 402.09264971 260.81524286]
trained network
assigned nodes MQE=3.40896611158, target=1.91105278841
identified error unit: 2
INITIALISE WEIGHT, NUMBER OF NODES: 72, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 355.59182842 232.69240662 229.90812255]
trained network
assigned nodes MQE=2.12070409948, target=1.91991920248
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 164, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 48.55452566 49.02813954 83.94198687 55.98722831 82.14890149]
trained network
assigned nodes MQE=2.46427451514, target=2.44471610641
identified error unit: 4
INITIALISE WEIGHT, NUMBER OF NODES: 11, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 160.86443521 95.8522243 81.94670276 111.79252149]
trained network
assigned nodes MQE=2.31384780565, target=1.67720561982
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 54, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 41.37666777 40.0833747 81.63271161 28.4561878 80.6951542
47.32680263]
trained network
assigned nodes MQE=2.28574445207, target=2.44471610641
growth terminated, MQE: 2.28574445207, target: 2.44471610641, number of deleted neurons: 0
NET CHANGE AFTER TRAINING
[ 131.96245429 191.32798977 216.62371744 284.44377787]
trained network
assigned nodes MQE=3.20145111371, target=1.91105278841
identified error unit: 3
INITIALISE WEIGHT, NUMBER OF NODES: 29, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 110.77981612 80.7474502 53.19199727 109.47594099 91.72374369]
trained network
assigned nodes MQE=2.27268175303, target=1.67720561982
identified error unit: 5
INITIALISE WEIGHT, NUMBER OF NODES: 23, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 332.57312652 181.58501347 208.56698252 153.38446426]
trained network
assigned nodes MQE=1.8430014645, target=1.91991920248
growth terminated, MQE: 1.8430014645, target: 1.91991920248, number of deleted neurons: 0
submitted job: ID=01-06-01, e=3.86037424453, number of nodes=163
MQE_0=3.86037424453, growth_target=1.93018712226
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 163, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 163, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 163, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 110.68153525 80.68048346 52.96632588 107.72263088 84.43808356
40.65211851]
trained network
assigned nodes MQE=2.11604397977, target=1.67720561982
identified error unit: 5
INITIALISE WEIGHT, NUMBER OF NODES: 28, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 109.05347177 193.0982264 166.2471778 273.9955169 97.08605714]
trained network
assigned nodes MQE=2.87321054803, target=1.91105278841
identified error unit: 2
INITIALISE WEIGHT, NUMBER OF NODES: 81, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 330.68623153 259.2356442 172.34301566]
trained network
assigned nodes MQE=2.57427510632, target=1.93018712226
identified error unit: 2
INITIALISE WEIGHT, NUMBER OF NODES: 120, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 1294.06111046 529.32721277 432.80219427]
trained network
assigned nodes MQE=2.89626308163, target=1.79586855245
identified error unit: 2
INITIALISE WEIGHT, NUMBER OF NODES: 199, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 105.25665323 79.35802305 51.41774692 101.71820956 69.52406149
41.14866559 28.69558229]
trained network
DELETING NODES: [5]
assigned nodes MQE=2.11483505722, target=1.67720561982
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 26, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 51.32190087 111.21724107 120.35857191 141.51578955 68.16120086
203.4526485 ]
trained network
assigned nodes MQE=2.40178196712, target=1.91105278841
identified error unit: 4
INITIALISE WEIGHT, NUMBER OF NODES: 45, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 221.41438839 180.60361025 99.34019777 261.09238302]
trained network
assigned nodes MQE=2.46040737134, target=1.93018712226
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 82, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 73.73036012 72.91853643 44.08423454 95.5775187 31.4386365
49.50974408 55.63416218]
trained network
assigned nodes MQE=1.97470648638, target=1.67720561982
identified error unit: 7
INITIALISE WEIGHT, NUMBER OF NODES: 28, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 62.8695579 66.86725484 33.46216599 83.02885652 35.50037318
30.05890822 49.07372565 53.36313954]
trained network
assigned nodes MQE=1.77960813212, target=1.67720561982
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 23, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 51.15126833 111.14669485 114.69332718 119.21664936 67.70412432
200.31027256 53.89744846]
trained network
assigned nodes MQE=2.31236351249, target=1.91105278841
identified error unit: 4
INITIALISE WEIGHT, NUMBER OF NODES: 40, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 156.92734067 152.06731888 82.55706361 208.61346306 178.63192575]
trained network
assigned nodes MQE=2.12696941202, target=1.93018712226
identified error unit: 4
INITIALISE WEIGHT, NUMBER OF NODES: 102, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 57.34410616 65.05564583 31.14905573 80.00130705 33.2714441
29.77484703 43.63614526 53.56094401 24.05343892]
trained network
assigned nodes MQE=1.88557558853, target=1.67720561982
identified error unit: 8
INITIALISE WEIGHT, NUMBER OF NODES: 29, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 47.47723182 95.06562179 99.82322462 62.19650262 65.92198115
191.6204667 49.27509187 75.986494 ]
trained network
assigned nodes MQE=2.3799769473, target=1.91105278841
identified error unit: 8
INITIALISE WEIGHT, NUMBER OF NODES: 18, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 119.02925335 116.55582405 62.92973795 179.02402964 135.36507166
140.92970495]
trained network
assigned nodes MQE=2.41217896789, target=1.93018712226
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 22, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 50.35055386 52.90180139 26.60224044 74.9717439 30.86894315
28.99758958 38.79233068 52.22165148 16.34265739 32.28698771]
trained network
assigned nodes MQE=1.85587576837, target=1.67720561982
identified error unit: 9
INITIALISE WEIGHT, NUMBER OF NODES: 10, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 832.06176232 426.23637419 291.45165049 690.99595117]
trained network
assigned nodes MQE=2.86916952947, target=1.79586855245
identified error unit: 3
INITIALISE WEIGHT, NUMBER OF NODES: 34, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 47.57276502 94.71869636 99.49093938 61.36571684 65.78021663
191.59690925 44.01059527 53.13842342 34.98870608]
trained network
assigned nodes MQE=2.21482248301, target=1.91105278841
identified error unit: 5
INITIALISE WEIGHT, NUMBER OF NODES: 23, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 48.85963397 52.10908959 26.31781694 73.894909 28.37273545
30.35302706 37.54441917 43.66841873 15.77928487 31.67088386
23.5415594 ]
trained network
assigned nodes MQE=1.75399370261, target=1.67720561982
identified error unit: 9
INITIALISE WEIGHT, NUMBER OF NODES: 23, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 104.82789121 108.87470399 57.50451402 165.15836404 119.31444128
136.22694657 65.69703785]
trained network
assigned nodes MQE=2.40037515069, target=1.93018712226
identified error unit: 2
INITIALISE WEIGHT, NUMBER OF NODES: 20, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 48.59192544 52.05329172 26.24555537 73.95610921 26.3738111
24.79060484 37.68249082 38.09056071 16.12934265 31.82552389
21.29951268 19.38501724]
trained network
assigned nodes MQE=1.59245436235, target=1.67720561982
growth terminated, MQE: 1.59245436235, target: 1.67720561982, number of deleted neurons: 1
NET CHANGE AFTER TRAINING
[ 45.57552654 91.17244332 100.30149389 61.31713154 57.54153767
191.39183595 43.54827338 53.23190276 35.04823696 28.39575488]
trained network
assigned nodes MQE=2.19993097895, target=1.91105278841
identified error unit: 5
INITIALISE WEIGHT, NUMBER OF NODES: 21, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 103.79662258 106.69597814 56.96008564 165.31721316 119.09709249
135.52186361 65.18301051 23.96393264]
trained network
assigned nodes MQE=2.18216572341, target=1.93018712226
identified error unit: 6
INITIALISE WEIGHT, NUMBER OF NODES: 26, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 103.64052575 100.49617122 56.83369151 165.30715111 118.99399506
113.98871603 65.29181606 23.43310238 74.18521382]
trained network
assigned nodes MQE=2.23058322428, target=1.93018712226
identified error unit: 2
INITIALISE WEIGHT, NUMBER OF NODES: 20, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 45.24949194 89.66451794 100.1092663 61.153283 52.16271785
191.13552321 43.40034887 53.21551315 35.05511345 28.41710413
12.65630325]
trained network
assigned nodes MQE=2.14154488454, target=1.91105278841
identified error unit: 5
INITIALISE WEIGHT, NUMBER OF NODES: 18, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 795.92718734 385.99592197 267.58409737 666.1035492 268.35396115]
trained network
assigned nodes MQE=2.67565659107, target=1.79586855245
identified error unit: 5
INITIALISE WEIGHT, NUMBER OF NODES: 29, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 94.05092162 98.26187537 49.22748746 155.34667188 107.83720831
110.28199967 60.57851757 22.1187143 71.86699237 57.21532758]
trained network
assigned nodes MQE=2.16608501873, target=1.93018712226
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 31, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 41.92630632 85.73707813 91.6804315 58.58773911 43.73300321
189.13371618 43.2070027 52.9665514 34.72384103 25.20245205
11.23595818 27.76131292]
trained network
assigned nodes MQE=2.11277443323, target=1.91105278841
identified error unit: 5
INITIALISE WEIGHT, NUMBER OF NODES: 13, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 91.34262653 95.84048339 48.12246343 144.21171044 100.85925391
107.57812301 58.11885432 21.8242988 68.84797955 55.0352127
46.40059324]
trained network
assigned nodes MQE=2.19694694555, target=1.93018712226
identified error unit: 6
INITIALISE WEIGHT, NUMBER OF NODES: 19, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 38.60780604 80.99768357 82.03667065 56.33939633 34.60843
186.35407414 42.53157361 52.75311083 34.43227519 21.29648293
9.32723477 23.85685496 26.41312252]
trained network
assigned nodes MQE=2.07430036851, target=1.91105278841
identified error unit: 5
INITIALISE WEIGHT, NUMBER OF NODES: 10, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 90.80654841 92.64879881 48.11686009 141.66988582 99.84299223
101.09845119 58.08976956 21.53484455 68.95385435 55.02012301
46.61307674 23.34896251]
trained network
assigned nodes MQE=2.0022366484, target=1.93018712226
identified error unit: 6
INITIALISE WEIGHT, NUMBER OF NODES: 17, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 37.58499605 79.848069 79.23889055 55.85470156 33.01836884
185.73615951 42.4390658 52.88626619 34.48022304 20.64226232
8.99425339 23.14819094 24.76328975 10.97892371]
trained network
assigned nodes MQE=1.97384381138, target=1.91105278841
identified error unit: 5
INITIALISE WEIGHT, NUMBER OF NODES: 9, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 774.19242293 384.21801939 268.85189995 657.77691741 211.87913401
84.56653059]
trained network
assigned nodes MQE=2.44988676697, target=1.79586855245
identified error unit: 3
INITIALISE WEIGHT, NUMBER OF NODES: 17, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 90.26023496 91.98631791 47.43713913 133.40217047 97.50724871
72.62744443 57.47093115 21.37958176 62.75313203 54.62771249
45.56783577 17.24374462 44.45984403]
trained network
assigned nodes MQE=1.97724604085, target=1.93018712226
identified error unit: 5
INITIALISE WEIGHT, NUMBER OF NODES: 16, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 36.53702666 78.9311914 75.70643251 55.08670798 29.98533294
184.37315531 42.34140289 52.66211012 34.34935706 19.65768205
8.49978861 22.21726076 20.55854557 8.14374869 12.51852476]
trained network
assigned nodes MQE=1.88612339444, target=1.91105278841
growth terminated, MQE: 1.88612339444, target: 1.91105278841, number of deleted neurons: 0
submitted job: ID=01-04-06, e=2.34573880777, number of nodes=84
MQE_0=2.34573880777, growth_target=1.17286940388
computed shortest paths
INITIALISE WEIGHT, NUMBER OF NODES: 84, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 84, CONNECTED: True
INITIALISE WEIGHT, NUMBER OF NODES: 84, CONNECTED: True
initialised network
precomputed sigmas
NET CHANGE AFTER TRAINING
[ 112.97954386 58.35440218 98.58296754]
trained network
assigned nodes MQE=1.64428002851, target=1.17286940388
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 80, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 90.25426216 42.70199752 74.52379982 72.02618694]
trained network
assigned nodes MQE=1.65402711509, target=1.17286940388
identified error unit: 4
INITIALISE WEIGHT, NUMBER OF NODES: 77, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 84.86402574 90.63128226 45.92258282 130.1953998 94.14866796
71.88334826 55.29283508 21.21846867 62.15462907 54.16371296
42.63457762 17.2846519 44.32232403 35.61620596]
trained network
assigned nodes MQE=1.93156811633, target=1.93018712226
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 24, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 74.43751165 40.31604986 69.03449621 71.65580683 41.83785279]
trained network
assigned nodes MQE=1.38944682983, target=1.17286940388
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 78, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 68.10957114 34.5482867 63.02659008 60.65198791 37.48442637
39.47973311]
trained network
assigned nodes MQE=1.43771098051, target=1.17286940388
identified error unit: 4
INITIALISE WEIGHT, NUMBER OF NODES: 75, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 61.26698604 31.35128562 56.59925972 58.82531579 35.60654367
32.95468026 30.97216153]
trained network
assigned nodes MQE=1.34957524187, target=1.17286940388
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 75, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 735.85168949 362.4030889 250.1727595 618.51101412 198.13670069
100.43150285 110.72387015]
trained network
assigned nodes MQE=2.26467727294, target=1.79586855245
identified error unit: 7
INITIALISE WEIGHT, NUMBER OF NODES: 105, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 77.51986836 87.86376003 43.61529424 124.3230273 82.82198525
70.46629446 47.72864424 20.93226864 60.66103803 53.02529092
37.64186051 17.06376084 43.78363731 29.38913988 32.93515482]
trained network
assigned nodes MQE=1.9211233742, target=1.93018712226
growth terminated, MQE: 1.9211233742, target: 1.93018712226, number of deleted neurons: 0
NET CHANGE AFTER TRAINING
[ 56.67608728 29.00038252 53.2013147 50.52400146 32.18213724
31.33532701 27.67075451 32.63792 ]
trained network
assigned nodes MQE=1.30661023455, target=1.17286940388
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 74, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 53.58331256 26.27092483 45.6539563 48.60267979 29.22150764
26.82817097 25.74664901 29.95762258 30.80185049]
trained network
assigned nodes MQE=1.3481732927, target=1.17286940388
identified error unit: 4
INITIALISE WEIGHT, NUMBER OF NODES: 71, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 50.11751892 24.51829419 41.91805367 45.99948697 26.93439834
25.0576111 24.37461127 28.11083384 28.53125276 25.79126755]
trained network
assigned nodes MQE=1.45856567446, target=1.17286940388
identified error unit: 6
INITIALISE WEIGHT, NUMBER OF NODES: 47, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 48.11074106 22.61771367 36.77668828 41.32635525 24.20221822
24.22465903 21.66765026 24.97958472 25.02564147 22.64663105
25.28545045]
trained network
assigned nodes MQE=1.30770212246, target=1.17286940388
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 66, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 45.94807803 20.94137909 31.74241598 35.29951462 22.31495838
22.5226601 20.43264008 25.12233729 22.03425365 20.87774803
24.49618075 23.68823449]
trained network
assigned nodes MQE=1.43802206441, target=1.17286940388
identified error unit: 10
INITIALISE WEIGHT, NUMBER OF NODES: 38, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 38.18538184 18.54427509 26.9840472 32.74454238 19.63577408
19.43046813 17.56352017 20.7030038 19.16245004 21.39498701
22.76397333 18.02709616 31.42661126]
trained network
assigned nodes MQE=1.31555395993, target=1.17286940388
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 61, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 698.4328391 349.33762075 255.29855951 580.90961989 191.27143997
99.05104485 112.09001533 85.29895089]
trained network
assigned nodes MQE=2.38383166874, target=1.79586855245
identified error unit: 7
INITIALISE WEIGHT, NUMBER OF NODES: 75, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 37.33804101 17.80305169 24.1789302 30.24176029 17.98307619
21.14928623 16.39173448 18.80965018 17.7224877 19.90769939
22.31079247 16.70037971 26.47857138 19.61506956]
trained network
assigned nodes MQE=1.34160715415, target=1.17286940388
identified error unit: 4
INITIALISE WEIGHT, NUMBER OF NODES: 58, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 36.79035008 17.15716516 22.98385267 29.48050406 16.8633678
19.35717879 14.97291922 18.23064535 16.37716778 18.90980232
21.86566917 15.63029867 25.46451964 20.47120644 15.38561613]
trained network
assigned nodes MQE=1.29760675171, target=1.17286940388
identified error unit: 6
INITIALISE WEIGHT, NUMBER OF NODES: 34, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 35.46261076 16.82210174 23.38628662 29.38210449 16.43756946
19.41376924 13.96144872 17.39690847 15.91797574 18.08184083
21.38575658 15.78779699 24.56086111 17.44127736 14.42206987
10.7371343 ]
trained network
assigned nodes MQE=1.34043744948, target=1.17286940388
identified error unit: 10
INITIALISE WEIGHT, NUMBER OF NODES: 33, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 32.12775156 16.32487357 25.79047074 28.97459015 13.85275861
18.29672009 12.92977707 15.23457308 14.74928329 18.45476482
20.94686021 13.92290522 22.87545884 14.46236129 12.33006831
8.91798257 13.73258198]
trained network
assigned nodes MQE=1.45884382416, target=1.17286940388
identified error unit: 10
INITIALISE WEIGHT, NUMBER OF NODES: 12, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 33.91753746 15.27027566 23.80197733 24.68090682 13.31671618
16.6102844 11.96880755 14.22163851 12.18812595 18.87500907
20.34894761 11.3563939 23.01643891 13.68422326 12.40375211
8.59982807 13.60656736 11.99475435]
trained network
assigned nodes MQE=1.35091897886, target=1.17286940388
identified error unit: 11
INITIALISE WEIGHT, NUMBER OF NODES: 8, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 655.08163856 330.96254937 245.80435082 536.80717785 181.56962146
95.8117025 114.39759202 99.46460415 101.29517128]
trained network
assigned nodes MQE=2.25684060273, target=1.79586855245
identified error unit: 6
INITIALISE WEIGHT, NUMBER OF NODES: 28, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 29.38800762 15.06746557 20.21790684 23.66965836 12.69622227
15.05218949 11.68576796 14.79891406 11.76357307 19.12838829
15.0631417 14.34331759 23.14826812 17.07268866 11.38510034
9.34072187 13.50411308 12.06901159 13.34723759]
trained network
assigned nodes MQE=1.41487417145, target=1.17286940388
identified error unit: 10
INITIALISE WEIGHT, NUMBER OF NODES: 27, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 31.68997433 14.47628742 23.98496295 22.06980731 12.22595753
14.51473038 11.53413503 12.61786923 11.65973415 18.52874313
14.67227381 10.40984862 23.10624312 12.77906727 11.22181385
8.87362188 13.34749995 12.46088137 13.16419241 7.23776989]
trained network
assigned nodes MQE=1.42749846266, target=1.17286940388
identified error unit: 10
INITIALISE WEIGHT, NUMBER OF NODES: 3, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 31.94948807 14.18680057 18.23514157 21.36227599 12.03126029
14.23239116 11.11261867 12.65196411 11.06409877 19.71456224
14.5471911 15.35420172 22.00958175 11.77462604 10.82939982
8.55000839 13.20030169 13.18830837 12.9649057 6.86630468
5.44073809]
trained network
DELETING NODES: [21]
assigned nodes MQE=1.285883592, target=1.17286940388
identified error unit: 1
INITIALISE WEIGHT, NUMBER OF NODES: 49, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 29.54998508 14.01793574 16.97024701 21.71434361 11.52418218
13.65645749 10.8519944 13.72564305 11.50261611 17.83506163
14.30887285 16.01438784 21.0160131 13.00309523 11.06925159
7.45193318 13.04432678 11.9446764 13.06654733 7.14275796
9.95282598]
trained network
assigned nodes MQE=1.30656597768, target=1.17286940388
identified error unit: 12
INITIALISE WEIGHT, NUMBER OF NODES: 46, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 26.7442685 13.6085545 16.16220761 19.62650306 11.20339743
13.32096332 11.06742822 14.03018872 10.59055603 17.03521314
14.12960329 11.7903818 20.33983668 14.85607171 10.02714581
8.3225353 12.77388009 11.51762365 12.84091484 7.58824543
12.46210878 7.85941241]
trained network
assigned nodes MQE=1.26368602685, target=1.17286940388
identified error unit: 4
INITIALISE WEIGHT, NUMBER OF NODES: 46, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 654.23535169 330.24334903 244.4565805 537.09736236 179.27103827
94.23138901 113.26332667 98.70619685 100.40798035 33.00241272]
trained network
assigned nodes MQE=2.12553289175, target=1.79586855245
identified error unit: 2
INITIALISE WEIGHT, NUMBER OF NODES: 25, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 27.54606198 13.18089341 15.33997483 24.26445615 11.26706902
12.94836102 10.50692323 13.40291344 9.99013251 16.805807
13.94491351 13.26109209 21.63503421 9.10128495 9.73294971
7.50463441 12.72495834 11.4227163 12.45483572 6.20782704
9.02702413 8.72059354 8.68404891]
trained network
assigned nodes MQE=1.31310183762, target=1.17286940388
identified error unit: 11
INITIALISE WEIGHT, NUMBER OF NODES: 5, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 24.74172641 13.02362612 17.85115934 20.38348018 10.73622846
12.55194791 10.99827126 14.55642828 11.64863713 16.66213808
10.8422462 9.79324323 20.72501841 14.15881271 10.09340104
7.10908523 12.80497867 11.97969174 9.47138969 6.2968594
8.94106517 6.58295085 8.66684522 7.07131702]
trained network
assigned nodes MQE=1.34012038451, target=1.17286940388
identified error unit: 20
INITIALISE WEIGHT, NUMBER OF NODES: 22, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 23.08529603 12.53834711 15.92221297 18.56944687 10.25146138
12.34490923 10.25714636 13.02916919 9.53327407 16.29069095
10.56597484 14.91147783 20.50246978 11.31534551 9.08628218
7.13650058 12.66355021 12.18596521 9.34193247 7.19457769
8.47227035 6.96900265 8.54135388 7.03587361 7.06125405]
trained network
assigned nodes MQE=1.25791625954, target=1.17286940388
identified error unit: 3
INITIALISE WEIGHT, NUMBER OF NODES: 23, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 22.15552905 12.44628889 17.85957353 18.15780513 10.06742685
11.43083773 10.03038793 13.62203477 9.03407989 15.58403247
10.28197746 9.44214381 19.96974064 7.88206491 9.73866529
7.1004463 12.4670805 11.78236234 9.04137005 6.80363415
8.05263064 8.34762807 8.48990849 7.08651419 10.18810258
7.34212779]
trained network
assigned nodes MQE=1.26126385414, target=1.17286940388
identified error unit: 13
INITIALISE WEIGHT, NUMBER OF NODES: 12, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 656.33860283 293.21242027 234.10101957 530.49696962 178.66501988
93.11071567 111.95349607 97.53174194 99.91257407 32.96126113
194.48848836]
trained network
assigned nodes MQE=2.07402067388, target=1.79586855245
identified error unit: 4
INITIALISE WEIGHT, NUMBER OF NODES: 223, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 23.07470255 11.95891615 18.00850548 17.56615482 9.64684864
10.95741499 9.83012605 12.74776521 9.25567554 15.88633091
10.16184184 9.32202041 21.55949577 7.80691887 8.52797167
6.5367409 12.48197687 11.56958931 8.91953637 6.60399912
10.7364081 6.14355651 8.33684718 6.96373979 5.51439754
6.80488534 7.22675863]
trained network
assigned nodes MQE=1.24522145045, target=1.17286940388
identified error unit: 14
INITIALISE WEIGHT, NUMBER OF NODES: 21, CONNECTED: True
expanded network
NET CHANGE AFTER TRAINING
[ 23.05981504 11.83875568 13.47980099 16.92005752 9.49926403
10.85681021 9.72170973 12.36913967 8.66962182 15.44117771
10.03984964 10.93578926 19.94685923 8.53314627 8.88591645
6.0992645 12.28488417 11.20156485 8.89680856 6.4622163
8.2458128 9.56829964 8.00904574 7.03429369 5.23933588
6.34636344 7.05167758 7.67652476]
trained network
assigned nodes MQE=1.22245163273, target=1.17286940388
identified error unit: 12
INITIALISE WEIGHT, NUMBER OF NODES: 41, CONNECTED: True
expanded network
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Content source: DavidMcDonald1993/ghsom
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