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author | Étienne Simon <esimon@esimon.eu> | 2015-07-02 12:59:15 -0400 |
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committer | Étienne Simon <esimon@esimon.eu> | 2015-07-02 12:59:15 -0400 |
commit | 98139f573eb179c8f5a06ba6c8d8883376814ccf (patch) | |
tree | f27270d80cb91c19639227c921549f762eda2f72 /config/dest_simple_mlp_tgtcls_0_cs.py | |
parent | a4b190516d00428b1d8a81686a3291e5fa5f9865 (diff) | |
download | taxi-98139f573eb179c8f5a06ba6c8d8883376814ccf.tar.gz taxi-98139f573eb179c8f5a06ba6c8d8883376814ccf.zip |
Remove _simple
Diffstat (limited to 'config/dest_simple_mlp_tgtcls_0_cs.py')
-rw-r--r-- | config/dest_simple_mlp_tgtcls_0_cs.py | 32 |
1 files changed, 0 insertions, 32 deletions
diff --git a/config/dest_simple_mlp_tgtcls_0_cs.py b/config/dest_simple_mlp_tgtcls_0_cs.py deleted file mode 100644 index 6f55013..0000000 --- a/config/dest_simple_mlp_tgtcls_0_cs.py +++ /dev/null @@ -1,32 +0,0 @@ -import os -import cPickle - -from blocks.initialization import IsotropicGaussian, Constant - -import data -from model.dest_simple_mlp_tgtcls import Model, Stream - - -n_begin_end_pts = 5 # how many points we consider at the beginning and end of the known trajectory - -with open(os.path.join(data.path, 'arrival-clusters.pkl')) as f: tgtcls = cPickle.load(f) - -dim_embeddings = [ - ('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) -dim_hidden = [] -dim_output = tgtcls.shape[0] - -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 |