Clean data module and generalize use of hdf5.

1 files changed, 0 insertions, 37 deletions

diff --git a/make_valid.py b/make_valid.py
deleted file mode 100644
index d5e147d..0000000
--- a/make_valid.py
+++ /dev/null
@@ -1,37 +0,0 @@
-# Takes valid-full.csv which is a subset of the lines of train.csv, formatted in the
-# exact same way
-# Outputs valid.csv which contains the polylines cut at an arbitrary location, and three
-# new columns containing the destination point and the length in seconds of the original polyline
-# (see contest definition for the time taken by a taxi along a polyline)
-
-import random
-import csv
-import ast
-
-with open("valid-full.csv") as f:
-    vlines = [l for l in csv.reader(f)]
-
-def make_valid_item(l):
-    polyline = ast.literal_eval(l[-1])
-    last = polyline[-1]
-    cut_idx = random.randrange(len(polyline)+1)
-    cut = polyline[:cut_idx]
-    return l[:-1] + [
-                        cut.__str__(),
-                        last[0],
-                        last[1],
-                        15 * (len(polyline)-1),
-                    ]
-
-vlines = map(make_valid_item, filter(lambda l: (len(ast.literal_eval(l[-1])) > 0), vlines))
-
-with open("valid.csv", "w") as f:
-    wr = csv.writer(f)
-    for r in vlines:
-        wr.writerow(r)
-
-with open("valid-solution.csv", "w") as f:
-    wr = csv.writer(f)
-    wr.writerow(["TRIP_ID", "LATITUDE", "LONGITUDE"])
-    for r in vlines:
-        wr.writerow([r[0], r[-2], r[-3]])