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authorAlex Auvolat <alex.auvolat@ens.fr>2015-07-02 11:15:37 -0400
committerAlex Auvolat <alex.auvolat@ens.fr>2015-07-02 11:18:45 -0400
commit3f3ab2bfe3ebfa266d433012be1c89c722d63352 (patch)
tree589915018911ec364dccb4b897ab108913be464f /config/joint_simple_mlp_tgtcls_111_cswdtx_bigger.py
parent32b078f28add3d22529e55aeac6674d924e9b510 (diff)
downloadtaxi-3f3ab2bfe3ebfa266d433012be1c89c722d63352.tar.gz
taxi-3f3ab2bfe3ebfa266d433012be1c89c722d63352.zip
Unify parameters for joint_simple_tgtcls_111_cswdtx_bigger{,_dropout}
Diffstat (limited to 'config/joint_simple_mlp_tgtcls_111_cswdtx_bigger.py')
-rw-r--r--config/joint_simple_mlp_tgtcls_111_cswdtx_bigger.py9
1 files changed, 4 insertions, 5 deletions
diff --git a/config/joint_simple_mlp_tgtcls_111_cswdtx_bigger.py b/config/joint_simple_mlp_tgtcls_111_cswdtx_bigger.py
index 93ff5c7..8e991a1 100644
--- a/config/joint_simple_mlp_tgtcls_111_cswdtx_bigger.py
+++ b/config/joint_simple_mlp_tgtcls_111_cswdtx_bigger.py
@@ -29,14 +29,14 @@ dim_embeddings = [
# Common network part
dim_input = n_begin_end_pts * 2 * 2 + sum(x for (_, _, x) in dim_embeddings)
-dim_hidden = [1000]
+dim_hidden = [5000]
# Destination prediction part
-dim_hidden_dest = [400]
+dim_hidden_dest = [1000]
dim_output_dest = dest_tgtcls.shape[0]
# Time prediction part
-dim_hidden_time = [400]
+dim_hidden_time = [500]
dim_output_time = len(time_tgtcls)
# Cost ratio between distance cost and time cost
@@ -46,8 +46,7 @@ embed_weights_init = IsotropicGaussian(0.01)
mlp_weights_init = IsotropicGaussian(0.1)
mlp_biases_init = Constant(0.01)
-learning_rate = 0.000001
-momentum = 0.99
+# use adadelta, so no learning_rate or momentum
batch_size = 200
valid_set = 'cuts/test_times_0'