Model with only embeddings.

1 files changed, 31 insertions, 0 deletions

diff --git a/config/dest_simple_mlp_emb_only.py b/config/dest_simple_mlp_emb_only.py
new file mode 100644
index 0000000..e5c91b8
--- /dev/null
+++ b/config/dest_simple_mlp_emb_only.py
@@ -0,0 +1,31 @@
+from blocks.initialization import IsotropicGaussian, Constant
+
+import data
+from model.mlp_emb import Model, Stream
+
+use_cuts_for_training = True
+
+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),
+]
+
+dim_input = sum(x for (_, _, x) in dim_embeddings)
+dim_hidden = [200, 100]
+output_mode = "destination"
+dim_output = 2
+
+embed_weights_init = IsotropicGaussian(0.001)
+mlp_weights_init = IsotropicGaussian(0.01)
+mlp_biases_init = Constant(0.001)
+
+learning_rate = 0.0001
+momentum = 0.99
+batch_size = 32
+
+valid_set = 'cuts/test_times_0'
+max_splits = 100