Clean data module and generalize use of hdf5.

1 files changed, 0 insertions, 40 deletions

diff --git a/make_valid_cut.py b/make_valid_cut.py
deleted file mode 100644
index 2698af8..0000000
--- a/make_valid_cut.py
+++ /dev/null
@@ -1,40 +0,0 @@
-# Cuts the training dataset at the following timestamps :
-
-cuts = [
-    1376503200,
-    1380616200,
-    1381167900,
-    1383364800,
-    1387722600,
-]
-
-import random
-import csv
-import ast
-
-f = open("train.csv")
-fr = csv.reader(f)
-_skip_header = fr.next()
-g = open("cutvalid.csv", "w")
-gw = csv.writer(g)
-
-for l in fr:
-    polyline = ast.literal_eval(l[-1])
-    if len(polyline) == 0: continue
-    time = int(l[5])
-    for ts in cuts:
-        if time <= ts and time + 15 * (len(polyline) - 1) >= ts:
-            # keep it
-            n = (ts - time) / 15 + 1
-            cut = polyline[:n]
-            row = l[:-1] + [
-                        cut.__str__(),
-                        polyline[-1][0],
-                        polyline[-1][1],
-                        15 * (len(polyline)-1)
-                    ]
-            print row
-            gw.writerow(row)
-
-f.close()
-g.close()