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authorBen Green <ben@SEASITs-MacBook-Pro.local>2015-07-02 00:41:49 -0400
committerBen Green <ben@SEASITs-MacBook-Pro.local>2015-07-02 00:41:49 -0400
commit375f29ab4306821c888fd9ef0637f9ab2879e375 (patch)
tree30d1c40e429abda8c9cbae953b719543f9cd9cc8 /experiments/process.py
parent8e09ca6ca68c71bdab65525b529e2adfa281823c (diff)
downloadcriminal_cascades-375f29ab4306821c888fd9ef0637f9ab2879e375.tar.gz
in which the model works!!
Diffstat (limited to 'experiments/process.py')
-rw-r--r--experiments/process.py38
1 files changed, 19 insertions, 19 deletions
diff --git a/experiments/process.py b/experiments/process.py
index 0115bd4..a0c9b98 100644
--- a/experiments/process.py
+++ b/experiments/process.py
@@ -15,29 +15,29 @@ if __name__ == "__main__":
sys.exit("usage: {0} <file>".format(sys.argv[0]))
root_victims, victims, non_victims, age = load(open(sys.argv[1]))
- # # alphas = np.arange(1e-3, 1e-2, 8e-4) # parameter of the time component
- # alphas = np.logspace(-4,-1,num=15)
- # # deltas = np.arange(0.001, 0.3, 0.008) # parameter of the structural component
- # deltas = np.logspace(-4,-1.7,num=15)
- # with open("out.log", "w") as fh:
- # for alpha, delta in product(alphas, deltas):
- # beta, roots, ll = ml3(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()
-
- alphas = np.arange(.15, .25, .01) # parameter of the time component
- # alphas = np.logspace(-4,-.5,num=15)
- deltas = np.arange(.08, .1, .01) # parameter of the structural component
- # deltas = np.logspace(-2,-.1,num=15)
- lmbda = 0.10#np.logspace(-12,-3,num=10)
+ # alphas = np.arange(.02, .1, .01) # parameter of the time component
+ alphas = np.logspace(-3,-1,num=10)
+ # deltas = np.arange(.02, .1, .01) # parameter of the structural component
+ deltas = np.logspace(-3,-1,num=10)
with open("out.log", "w") as fh:
for alpha, delta in product(alphas, deltas):
- lmbda, roots, ll = ml2(root_victims, victims, non_victims, alpha, delta, lmbda)
- print "\t".join(map(str, [alpha, delta, lmbda, roots, ll]))
- fh.write("\t".join(map(str, [alpha, delta, lmbda, roots, ll])) + "\n")
+ beta, roots, ll = ml(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()
+ # alphas = np.arange(.15, .25, .01) # parameter of the time component
+ # # alphas = np.logspace(-4,-.5,num=15)
+ # deltas = np.arange(.08, .1, .01) # parameter of the structural component
+ # # deltas = np.logspace(-2,-.1,num=15)
+ # lmbda = 0.10#np.logspace(-12,-3,num=10)
+ # with open("out.log", "w") as fh:
+ # for alpha, delta in product(alphas, deltas):
+ # lmbda, roots, ll = ml2(root_victims, victims, non_victims, alpha, delta, lmbda)
+ # print "\t".join(map(str, [alpha, delta, lmbda, roots, ll]))
+ # fh.write("\t".join(map(str, [alpha, delta, lmbda, roots, ll])) + "\n")
+ # fh.flush()
+
# alpha = .016
# delta = 0.077
# beta, roots, ll = ml2(root_victims, victims, non_victims, alpha, delta, 1.)