taxi

commit 5e216e8c5197568c39029793ebafc4df50215cae
parent e1e2ff095a14d93e99960330a666c4d9a8fdf0ac
Author: Alex Auvolat <alex.auvolat@ens.fr>
Date:   Sat, 25 Jul 2015 14:19:22 -0400

Add bidirectional_tgtcls_1_momentum

Diffstat:
A
config/bidirectional_tgtcls_1_momentum.py
 | 
36
++++++++++++++++++++++++++++++++++++

1 file changed, 36 insertions(+), 0 deletions(-)
diff --git a/config/bidirectional_tgtcls_1_momentum.py b/config/bidirectional_tgtcls_1_momentum.py
@@ -0,0 +1,36 @@
+import os
+import cPickle
+
+from blocks.algorithms import Momentum
+from blocks.initialization import IsotropicGaussian, Constant
+
+import data
+from model.bidirectional_tgtcls import Model, Stream
+
+
+with open(os.path.join(data.path, 'arrival-clusters.pkl')) as f: tgtcls = cPickle.load(f)
+
+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),
+    ('taxi_id', data.taxi_id_size, 10),
+]
+
+hidden_state_dim = 100
+
+dim_hidden = [500, 500]
+
+embed_weights_init = IsotropicGaussian(0.01)
+weights_init = IsotropicGaussian(0.1) 
+biases_init = Constant(0.01)
+
+batch_size = 100
+batch_sort_size = 20
+
+max_splits = 100
+
+step_rule= Momentum(learning_rate=0.01, momentum=0.9)
+