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authorÉtienne Simon <esimon@esimon.eu>2015-05-05 21:55:13 -0400
committerÉtienne Simon <esimon@esimon.eu>2015-05-05 22:05:21 -0400
commit1f2ff96e6480a62089fcac35154a956c218ed678 (patch)
treed0bb7a2a6d7ba6ae512a2ce3729b1ccbdc21c822 /config/dest_simple_mlp_2_cs.py
parent54613c1f9cf510ca7a71d6619418f2247515aec6 (diff)
downloadtaxi-1f2ff96e6480a62089fcac35154a956c218ed678.tar.gz
taxi-1f2ff96e6480a62089fcac35154a956c218ed678.zip
Clean data module and generalize use of hdf5.
Diffstat (limited to 'config/dest_simple_mlp_2_cs.py')
-rw-r--r--config/dest_simple_mlp_2_cs.py6
1 files changed, 4 insertions, 2 deletions
diff --git a/config/dest_simple_mlp_2_cs.py b/config/dest_simple_mlp_2_cs.py
index 2cec78d..0dd2704 100644
--- a/config/dest_simple_mlp_2_cs.py
+++ b/config/dest_simple_mlp_2_cs.py
@@ -8,8 +8,8 @@ n_end_pts = 5
n_valid = 1000
dim_embeddings = [
- ('origin_call', data.n_train_clients+1, 10),
- ('origin_stand', data.n_stands+1, 10)
+ ('origin_call', data.origin_call_train_size, 10),
+ ('origin_stand', data.stands_size, 10)
]
dim_input = n_begin_end_pts * 2 * 2 + sum(x for (_, _, x) in dim_embeddings)
@@ -19,3 +19,5 @@ dim_output = 2
learning_rate = 0.0001
momentum = 0.99
batch_size = 32
+
+valid_set = 'cuts/test_times_0'