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authorÉtienne Simon <esimon@esimon.eu>2015-06-11 16:28:36 -0400
committerÉtienne Simon <esimon@esimon.eu>2015-06-11 16:28:36 -0400
commitdb0e57fc2a351cedef3b1270bf6047e9cae9fa9d (patch)
treefc6a42a5c91611b3b3ade2bd67e03f8791b49821 /config/rnn_1.py
parentb44f7113c64568a20c9f93ca17577f17d7695dcb (diff)
downloadtaxi-db0e57fc2a351cedef3b1270bf6047e9cae9fa9d.tar.gz
taxi-db0e57fc2a351cedef3b1270bf6047e9cae9fa9d.zip
Add basic RNN
Diffstat (limited to 'config/rnn_1.py')
-rw-r--r--config/rnn_1.py33
1 files changed, 33 insertions, 0 deletions
diff --git a/config/rnn_1.py b/config/rnn_1.py
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+++ b/config/rnn_1.py
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+from blocks.initialization import IsotropicGaussian, Constant
+
+import data
+from model.rnn import Model, Stream
+
+class EmbedderConfig(object):
+ __slots__ = ('dim_embeddings', 'embed_weights_init')
+
+pre_embedder = EmbedderConfig()
+pre_embedder.embed_weights_init = IsotropicGaussian(0.001)
+pre_embedder.dim_embeddings = [
+ ('week_of_year', 52, 10),
+ ('day_of_week', 7, 10),
+ ('qhour_of_day', 24 * 4, 10),
+ ('day_type', 3, 10),
+ ('taxi_id', 448, 10),
+]
+
+post_embedder = EmbedderConfig()
+post_embedder.embed_weights_init = IsotropicGaussian(0.001)
+post_embedder.dim_embeddings = [
+ ('origin_call', data.origin_call_train_size, 10),
+ ('origin_stand', data.stands_size, 10),
+]
+
+
+hidden_state_dim = 100
+weights_init = IsotropicGaussian(0.01)
+biases_init = Constant(0.001)
+
+batch_size = 10
+batch_sort_size = 10
+valid_set = 'cuts/test_times_0'