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authorÉtienne Simon <esimon@esimon.eu>2015-07-27 13:07:19 -0400
committerÉtienne Simon <esimon@esimon.eu>2015-07-27 13:07:19 -0400
commit9933cafdf3b218a509c2efd6e6e6ba91ae87aa9c (patch)
treed696681c2b5a73424bdd226b8c9e385b2580acd7 /config/bidirectional_tgtcls_relu_1.py
parent0021c3fb99d1cd3f8792a8cf5c35548815536428 (diff)
downloadtaxi-9933cafdf3b218a509c2efd6e6e6ba91ae87aa9c.tar.gz
taxi-9933cafdf3b218a509c2efd6e6e6ba91ae87aa9c.zip
Add bidirectional with recurrent ReLu
Diffstat (limited to 'config/bidirectional_tgtcls_relu_1.py')
-rw-r--r--config/bidirectional_tgtcls_relu_1.py36
1 files changed, 36 insertions, 0 deletions
diff --git a/config/bidirectional_tgtcls_relu_1.py b/config/bidirectional_tgtcls_relu_1.py
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+++ b/config/bidirectional_tgtcls_relu_1.py
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+import os
+import cPickle
+
+from blocks.bricks import Rectifier
+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),
+]
+
+rec_activation = Rectifier
+
+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
+