return vals
cargs = cli.CommandLine(cli.optsfile('chgpt'))
args = cargs.args
oneday = round(constant.day / constant.minute)
window = nd.Window(args.window_obs, args.window_pred, args.window_trgt)
if args.resume:
with open(args.resume, mode='rb') as fp:
observations = pickle.load(fp)
(measurements, nodes) = data.cleanse(observations)
else:
db.genop(args.reporting)
opts = [window, oneday, args.threshold, np.mean]
with Pool() as pool:
observations = pool.starmap(f, nd.nodegen(opts))
observations = list(filter(None, observations))
assert (observations)
if args.pickle:
with open(args.pickle, mode='wb') as fp:
pickle.dump(observations, fp)
if args.figures: # and args.verbose:
aggregate = []
for i in range(oneday):
vals = [x[i] for x in observations]
aggregate.append(np.mean(vals))
vals.append(nid) # this is important
return vals
cargs = cli.CommandLine(cli.optsfile('chgpt'))
args = cargs.args
oneday = round(constant.day / constant.minute)
window = nd.Window(args.window_obs, args.window_pred, args.window_trgt)
if args.resume:
with open(args.resume, mode='rb') as fp:
observations = pickle.load(fp)
(measurements, nodes) = data.cleanse(observations)
else:
db.genop(args.reporting)
opts = [ window, oneday, args.threshold, np.mean ]
with Pool() as pool:
observations = pool.starmap(f, nd.nodegen(opts))
observations = list(filter(None, observations))
assert(observations)
if args.pickle:
with open(args.pickle, mode='wb') as fp:
pickle.dump(observations, fp)
if args.figures: # and args.verbose:
aggregate = []
for i in range(oneday):
vals = [ x[i] for x in observations ]
aggregate.append(np.mean(vals))
from lib import db
from lib import cli
from configparser import ConfigParser
cargs = cli.CommandLine(cli.optsfile("prediction")) # /etc/opts/prediction
args = cargs.args
config = ConfigParser()
config.read(args.config) # --config
dbinfo = config["database"] if "database" in config else None
db.EstablishCredentials(**dbinfo)
db.genop(int(config["parameters"]["intra-reporting"]))
from lib import db
from lib import cli
from configparser import ConfigParser
cargs = cli.CommandLine(cli.optsfile('prediction')) # /etc/opts/prediction
args = cargs.args
config = ConfigParser()
config.read(args.config) # --config
dbinfo = config['database'] if 'database' in config else None
db.EstablishCredentials(**dbinfo)
db.genop(int(config['parameters']['intra-reporting']))