Import supplements and repo reorganization

1 files changed, 0 insertions, 63 deletions

diff --git a/experiments/process.py b/experiments/process.py
deleted file mode 100644
index f339fd1..0000000
--- a/experiments/process.py
+++ /dev/null
@@ -1,63 +0,0 @@
-import sys
-from ml import ml
-from ml2 import ml2
-from ml3 import ml3
-import numpy as np
-from cPickle import load
-from itertools import product
-from math import exp
-import time
-
-
-if __name__ == "__main__":
-    time.sleep(3)
-    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(1, 200, 10)  # parameter of the time component
-    alphas = np.logspace(-6,1,num=5)
-    # deltas = np.arange(.00003, .0003, .00002)  # parameter of the structural component
-    deltas = np.logspace(-6,-1,num=5)
-    lmbdas = np.logspace(-8,-3,num=5)
-    # lmbda = 1
-    with open("out.log", "w") as fh:
-        for alpha, delta, lmbda in product(alphas, deltas, lmbdas):
-        # for alpha, delta in product(alphas, deltas):
-            beta, roots, ll = ml(root_victims, victims, non_victims, alpha, delta, lmbda)
-            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 = 0.0373
-    # delta = 0.00518
-    # beta, roots, ll = ml(root_victims, victims, non_victims, alpha, delta, 1.)
-    # print "\t".join(map(str, [alpha, delta, beta, roots, ll]))
-
-# from ml import ml
-# alphas = np.arange(.01, .05, .01)  # parameter of the time component
-# # alphas = np.logspace(-4,1,num=5)
-# deltas = np.arange(.001, .02, .003)  # parameter of the structural component
-# # deltas = np.logspace(-10,-1,num=8)
-# lmbda = 1.
-# with open("out.log", "w") as fh:
-#     for alpha, delta in product(alphas, deltas):
-#         beta, roots, ll = ml(root_victims, victims, non_victims, alpha, delta, lmbda)
-#         print "\t".join(map(str, [alpha, delta, beta, roots, ll]))
-#         fh.write("\t".join(map(str, [alpha, delta, beta, roots, ll])) + "\n")
-#         fh.flush()
-
-
-