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authorAlex Auvolat <alex.auvolat@ens.fr>2015-05-06 10:12:17 -0400
committerAlex Auvolat <alex.auvolat@ens.fr>2015-05-06 10:12:17 -0400
commit35b4503ddd148b0c937468891dd0a7e9ff1c79f4 (patch)
tree92db398bce1f557ca9cb988dcf64a700ad249e47 /config/time_simple_mlp_2_cswdtx.py
parent60aa0d3fdd42d7489cc69acbb54c59d7c249ea34 (diff)
downloadtaxi-35b4503ddd148b0c937468891dd0a7e9ff1c79f4.tar.gz
taxi-35b4503ddd148b0c937468891dd0a7e9ff1c79f4.zip
Move weights init to config files ; fix s/time/travel_time
Diffstat (limited to 'config/time_simple_mlp_2_cswdtx.py')
-rw-r--r--config/time_simple_mlp_2_cswdtx.py10
1 files changed, 10 insertions, 0 deletions
diff --git a/config/time_simple_mlp_2_cswdtx.py b/config/time_simple_mlp_2_cswdtx.py
index ceb66e8..98467e3 100644
--- a/config/time_simple_mlp_2_cswdtx.py
+++ b/config/time_simple_mlp_2_cswdtx.py
@@ -1,5 +1,7 @@
import model.time_simple_mlp as model
+from blocks.initialization import IsotropicGaussian, Constant
+
import data
n_begin_end_pts = 5 # how many points we consider at the beginning and end of the known trajectory
@@ -21,6 +23,14 @@ dim_input = n_begin_end_pts * 2 * 2 + sum(x for (_, _, x) in dim_embeddings)
dim_hidden = [500, 100]
dim_output = 1
+embed_weights_init = IsotropicGaussian(0.001)
+mlp_weights_init = IsotropicGaussian(0.01)
+mlp_biases_init = Constant(0.001)
+
+exp_base = 1.5
+
learning_rate = 0.00001
momentum = 0.99
batch_size = 32
+
+valid_set = 'cuts/test_times_0'