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authorAlex Auvolat <alex.auvolat@ens.fr>2015-05-05 10:56:21 -0400
committerAlex Auvolat <alex.auvolat@ens.fr>2015-05-05 10:56:21 -0400
commit5b496677ea1db59a6718e5c9b2958177c76cb25f (patch)
tree5eb66c6c12450edda762de94e46f5aeac805ac93 /config/simple_mlp_0.py
parent95b565afb7e1c2a6eb23ca9f7c13cd6efaf55a39 (diff)
downloadtaxi-5b496677ea1db59a6718e5c9b2958177c76cb25f.tar.gz
taxi-5b496677ea1db59a6718e5c9b2958177c76cb25f.zip
Refactor architecture so that embedding sizes can be easily changed.
Diffstat (limited to 'config/simple_mlp_0.py')
-rw-r--r--config/simple_mlp_0.py19
1 files changed, 0 insertions, 19 deletions
diff --git a/config/simple_mlp_0.py b/config/simple_mlp_0.py
deleted file mode 100644
index 61ddbfd..0000000
--- a/config/simple_mlp_0.py
+++ /dev/null
@@ -1,19 +0,0 @@
-import model.simple_mlp as model
-
-n_dow = 7 # number of division for dayofweek/dayofmonth/hourofday
-n_dom = 31
-n_hour = 24
-
-n_begin_end_pts = 5 # how many points we consider at the beginning and end of the known trajectory
-n_end_pts = 5
-
-n_valid = 1000
-
-dim_embed = 10
-dim_input = n_begin_end_pts * 2 * 2 + dim_embed + dim_embed
-dim_hidden = [200, 100]
-dim_output = 2
-
-learning_rate = 0.0001
-momentum = 0.99
-batch_size = 32