# Geneate graphs from real data
import networkx as nx
import rw
import numpy as np
subs=['S101','S102','S103','S104','S105','S106','S107','S108','S109','S110',
'S111','S112','S113','S114','S115','S116','S117','S118','S119','S120']
#subs=['S1','S2','S3','S4','S5','S7','S8','S9','S10','S11','S12','S13']
toydata=rw.Toydata({
'numx': 3,
'trim': 1,
'jump': 0.0,
'jumptype': "stationary",
'priming': 0.0,
'startX': "stationary"})
fitinfo=rw.Fitinfo({
'startGraph': "windowgraph_valid",
'windowgraph_size': 2,
'windowgraph_threshold': 2,
'followtype': "avg",
'prior_samplesize': 10000,
'recorddir': "records/",
'directed': True,
'prune_limit': np.inf,
'triangle_limit': np.inf,
'other_limit': np.inf})
toygraphs=rw.Toygraphs({
import rw
toydata = rw.Toydata({
'numx': range(250, 251),
'priming': 0.3,
'jump': 0.0,
'trim': 0.7,
'jumptype': "stationary",
'startX': "stationary"
})
fitinfo = rw.Fitinfo({
'startGraph': "windowgraph_valid",
'followtype': "avg",
'record': False,
'recorddir': "records/",
'prune_limit': 100,
'triangle_limit': 100,
'other_limit': 100
})
toygraph = rw.Toygraphs({
'graphtype': "steyvers",
'numnodes': 50,
'numlinks': 6
})
fh = open('priming_test.csv', 'w')
seed = 15
import rw
import numpy as np
outfile='log.csv'
header=1
toygraphs=rw.Toygraphs({
'numgraphs': 5,
'graphtype': "steyvers",
'numnodes': 50,
'numlinks': 6,
'prob_rewire': .3})
toydata=rw.Toydata({
'numx': range(5,40),
'trim': .7,
'jump': 0.0,
'jumptype': "stationary",
'startX': "stationary"})
irts=rw.Irts({
'data': [],
'irttype': "gamma",
'beta': (1/1.1),
'irt_weight': 0.9,
'rcutoff': 20})
#TODO: add window params (c)?
fitinfo=rw.Fitinfo({
'startGraph': "windowgraph_valid",
'windowgraph_size': 2,
'windowgraph_threshold': 2,
outfile = 'tmp.csv'
header = 1
toygraphs = rw.Toygraphs({
'numgraphs': 10,
'graphtype': "steyvers",
'numnodes': 30,
'numlinks': 6,
'prob_rewire': .3
})
toydata = rw.Toydata({
'numx': range(5, 25),
'trim': .7,
'jump': 0.0,
'jumptype': "uniform",
'startX': "uniform"
})
irts = rw.Irts({
'data': [],
'irttype': "gamma",
'beta': (1 / 1.1),
'irt_weight': 0.9,
'rcutoff': 20
})
fitinfo = rw.Fitinfo({
'tolerance': 1500,
'startGraph': "naiverw",
import networkx as nx
import rw
import numpy as np
import math
import csv
subs = [
'S101', 'S102', 'S103', 'S104', 'S105', 'S106', 'S107', 'S108', 'S109',
'S110', 'S111', 'S112', 'S113', 'S114', 'S115', 'S116', 'S117', 'S118',
'S119', 'S120'
]
toydata = rw.Toydata({
'numx': 1,
'trim': 1.0,
'jump': 0.6,
'priming': 0.0,
'jumptype': "stationary",
'jumponcensored': None,
'startX': "stationary"
})
# should be same as above, but keep this one un-edited just in case :)
toydata_base = rw.Toydata({
'numx': 1,
'trim': 1.0,
'jump': 0.0,
'priming': 0.0,
'jumptype': "stationary",
'jumponcensored': None,
'startX': "stationary"
})