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authorÉtienne Simon <esimon@esimon.eu>2015-07-02 12:59:15 -0400
committerÉtienne Simon <esimon@esimon.eu>2015-07-02 12:59:15 -0400
commit98139f573eb179c8f5a06ba6c8d8883376814ccf (patch)
treef27270d80cb91c19639227c921549f762eda2f72 /config/dest_mlp_emb_only.py
parenta4b190516d00428b1d8a81686a3291e5fa5f9865 (diff)
downloadtaxi-98139f573eb179c8f5a06ba6c8d8883376814ccf.tar.gz
taxi-98139f573eb179c8f5a06ba6c8d8883376814ccf.zip
Remove _simple
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diff --git a/config/dest_mlp_emb_only.py b/config/dest_mlp_emb_only.py
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+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, 100),
+ # ('origin_stand', data.stands_size, 100),
+ # ('week_of_year', 52, 100),
+ # ('day_of_week', 7, 100),
+ ('qhour_of_day', 24 * 4, 10),
+ ('day_type', 3, 1),
+]
+
+dim_input = sum(x for (_, _, x) in dim_embeddings)
+dim_hidden = [10, 10]
+output_mode = "destination"
+dim_output = 2
+
+embed_weights_init = IsotropicGaussian(0.01)
+mlp_weights_init = IsotropicGaussian(0.01)
+mlp_biases_init = IsotropicGaussian(0.001)
+
+learning_rate = 0.001
+momentum = 0.9
+batch_size = 100
+
+valid_set = 'cuts/test_times_0'
+max_splits = 100