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authorÉtienne Simon <esimon@esimon.eu>2015-07-02 12:59:15 -0400
committerÉtienne Simon <esimon@esimon.eu>2015-07-02 12:59:15 -0400
commit98139f573eb179c8f5a06ba6c8d8883376814ccf (patch)
treef27270d80cb91c19639227c921549f762eda2f72 /config/dest_simple_mlp_2_noembed.py
parenta4b190516d00428b1d8a81686a3291e5fa5f9865 (diff)
downloadtaxi-98139f573eb179c8f5a06ba6c8d8883376814ccf.tar.gz
taxi-98139f573eb179c8f5a06ba6c8d8883376814ccf.zip
Remove _simple
Diffstat (limited to 'config/dest_simple_mlp_2_noembed.py')
-rw-r--r--config/dest_simple_mlp_2_noembed.py24
1 files changed, 0 insertions, 24 deletions
diff --git a/config/dest_simple_mlp_2_noembed.py b/config/dest_simple_mlp_2_noembed.py
deleted file mode 100644
index 9a9a158..0000000
--- a/config/dest_simple_mlp_2_noembed.py
+++ /dev/null
@@ -1,24 +0,0 @@
-from blocks.initialization import IsotropicGaussian, Constant
-
-import data
-from model.dest_simple_mlp import Model, Stream
-
-
-n_begin_end_pts = 5 # how many points we consider at the beginning and end of the known trajectory
-
-dim_embeddings = [] # do not use embeddings
-
-dim_input = n_begin_end_pts * 2 * 2 + sum(x for (_, _, x) in dim_embeddings)
-dim_hidden = [200, 100]
-dim_output = 2
-
-embed_weights_init = IsotropicGaussian(0.001)
-mlp_weights_init = IsotropicGaussian(0.01)
-mlp_biases_init = Constant(0.001)
-
-learning_rate = 0.0001
-momentum = 0.99
-batch_size = 32
-
-valid_set = 'cuts/test_times_0'
-max_splits = 100