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authorÉtienne Simon <esimon@esimon.eu>2015-07-27 13:46:39 -0400
committerÉtienne Simon <esimon@esimon.eu>2015-07-27 13:46:39 -0400
commit62171aa41bc6216822ceaad696a31d79be5ebe0b (patch)
tree09820d5515711881699488f7895a1256b5e61898
parent0725db3a1a3716e1a51ce3ac6f88ed5e83eae89a (diff)
downloadtaxi-62171aa41bc6216822ceaad696a31d79be5ebe0b.tar.gz
taxi-62171aa41bc6216822ceaad696a31d79be5ebe0b.zip
alexandre mlp no tgtcls
-rw-r--r--config/dest_mlp_1_cswdtx_alexandre.py35
1 files changed, 35 insertions, 0 deletions
diff --git a/config/dest_mlp_1_cswdtx_alexandre.py b/config/dest_mlp_1_cswdtx_alexandre.py
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+++ b/config/dest_mlp_1_cswdtx_alexandre.py
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+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