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import sys
from ml import ml
from ml2 import ml2
import numpy as np
from cPickle import load
from itertools import product
from math import exp
if __name__ == "__main__":
if len(sys.argv) < 2:
sys.exit("usage: {0} <file>".format(sys.argv[0]))
root_victims, victims, non_victims, age = load(open(sys.argv[1]))
# # alphas = np.arange(5e-4, 3e-3, 1e-4) # parameter of the time component
# alphas = np.logspace(-5,-1,num=20)
# # deltas = np.arange(0.03, 0.1, 0.005) # parameter of the structural component
# deltas = np.logspace(-5,-1,num=20)
# with open("out.log", "w") as fh:
# for alpha, delta in product(alphas, deltas):
# beta, roots, ll = ml2(root_victims, victims, non_victims, age, alpha, delta)
# print "\t".join(map(str, [alpha, delta, beta, roots, ll]))
# fh.write("\t".join(map(str, [alpha, delta, beta, roots, ll])) + "\n")
# fh.flush()
alpha = 0.004
delta = 0.06
beta, roots, ll = ml2(root_victims, victims, non_victims, age, alpha, delta)
print "\t".join(map(str, [1./alpha, delta, beta, roots, ll]))
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