taxi

commit 62171aa41bc6216822ceaad696a31d79be5ebe0b
parent 0725db3a1a3716e1a51ce3ac6f88ed5e83eae89a
Author: Étienne Simon <esimon@esimon.eu>
Date:   Mon, 27 Jul 2015 13:46:39 -0400

alexandre mlp no tgtcls

Diffstat:
A
config/dest_mlp_1_cswdtx_alexandre.py
 | 
35
+++++++++++++++++++++++++++++++++++

1 file changed, 35 insertions(+), 0 deletions(-)
diff --git a/config/dest_mlp_1_cswdtx_alexandre.py b/config/dest_mlp_1_cswdtx_alexandre.py
@@ -0,0 +1,35 @@
+import os
+import cPickle
+
+from blocks.initialization import IsotropicGaussian, Constant
+from blocks.algorithms import Momentum
+
+import data
+from model.dest_mlp import Model, Stream
+
+
+n_begin_end_pts = 5     # how many points we consider at the beginning and end of the known trajectory
+
+dim_embeddings = [
+    ('origin_call', data.origin_call_train_size, 10),
+    ('origin_stand', data.stands_size, 10),
+    ('week_of_year', 52, 10),
+    ('day_of_week', 7, 10),
+    ('qhour_of_day', 24 * 4, 10),
+    ('day_type', 3, 10),
+    ('taxi_id', 448, 10),
+]
+
+dim_input = n_begin_end_pts * 2 * 2 + sum(x for (_, _, x) in dim_embeddings)
+dim_hidden = [500]
+dim_output = 2
+
+embed_weights_init = IsotropicGaussian(0.01)
+mlp_weights_init = IsotropicGaussian(0.1) 
+mlp_biases_init = Constant(0.01)
+
+step_rule = Momentum(learning_rate=0.01, momentum=0.9)
+
+batch_size = 200
+
+max_splits = 100