2 files changed, 67 insertions, 0 deletions
diff --git a/config/bidirectional_1.py b/config/bidirectional_1.py
new file mode 100644
index 0000000..8691357
--- /dev/null
+++ b/config/bidirectional_1.py
@@ -0,0 +1,31 @@
+from blocks.initialization import IsotropicGaussian, Constant
+
+import data
+from model.bidirectional_tgtcls import Model, Stream
+
+
+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', 448, 10),
+]
+
+hidden_state_dim = 100
+
+dim_hidden = [500, 500]
+
+embed_weights_init = IsotropicGaussian(0.01)
+fork_weights_init = IsotropicGaussian(0.1) 
+fork_biases_init = Constant(0.01)
+rec_weights_init = IsotropicGaussian(0.1) 
+mlp_weights_init = IsotropicGaussian(0.1) 
+mlp_biases_init = Constant(0.01)
+
+batch_size = 20
+batch_sort_size = 20
+
+valid_set = 'cuts/large_valid'
+max_splits = 100
diff --git a/config/bidirectional_tgtcls_1.py b/config/bidirectional_tgtcls_1.py
new file mode 100644
index 0000000..4c9ed3e
--- /dev/null
+++ b/config/bidirectional_tgtcls_1.py
@@ -0,0 +1,36 @@
+import os
+import cPickle
+
+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', 448, 10),
+]
+
+hidden_state_dim = 100
+
+dim_hidden = [500, 500]
+
+embed_weights_init = IsotropicGaussian(0.01)
+fork_weights_init = IsotropicGaussian(0.1) 
+fork_biases_init = Constant(0.01)
+rec_weights_init = IsotropicGaussian(0.1) 
+mlp_weights_init = IsotropicGaussian(0.1) 
+mlp_biases_init = Constant(0.01)
+
+batch_size = 20
+batch_sort_size = 20
+
+valid_set = 'cuts/large_valid'
+max_splits = 100