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authorAlex Auvolat <alex.auvolat@ens.fr>2015-05-05 09:30:32 -0400
committerAlex Auvolat <alex.auvolat@ens.fr>2015-05-05 09:30:32 -0400
commit95b565afb7e1c2a6eb23ca9f7c13cd6efaf55a39 (patch)
tree2f40fdf2e80c00ca41c5fb55b597867d2ac9b26b /config
parent1556e9087f7e49bd75c8e236d2d3fb4fd936dc40 (diff)
downloadtaxi-95b565afb7e1c2a6eb23ca9f7c13cd6efaf55a39.tar.gz
taxi-95b565afb7e1c2a6eb23ca9f7c13cd6efaf55a39.zip
New config (added a hidden layer), small changes to train.py
Diffstat (limited to 'config')
-rw-r--r--config/simple_mlp_tgtcls_1.py25
1 files changed, 25 insertions, 0 deletions
diff --git a/config/simple_mlp_tgtcls_1.py b/config/simple_mlp_tgtcls_1.py
new file mode 100644
index 0000000..8d6c37b
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+++ b/config/simple_mlp_tgtcls_1.py
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+import cPickle
+
+import data
+
+import model.simple_mlp_tgtcls 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
+
+with open(data.DATA_PATH + "/arrival-clusters.pkl") as f: tgtcls = cPickle.load(f)
+
+dim_embed = 10
+dim_input = n_begin_end_pts * 2 * 2 + dim_embed + dim_embed
+dim_hidden = [500]
+dim_output = tgtcls.shape[0]
+
+learning_rate = 0.0001
+momentum = 0.99
+batch_size = 32