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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_mlp_tgtcls_0_cs.py | |
parent | a4b190516d00428b1d8a81686a3291e5fa5f9865 (diff) | |
download | taxi-98139f573eb179c8f5a06ba6c8d8883376814ccf.tar.gz taxi-98139f573eb179c8f5a06ba6c8d8883376814ccf.zip |
Remove _simple
Diffstat (limited to 'config/dest_mlp_tgtcls_0_cs.py')
-rw-r--r-- | config/dest_mlp_tgtcls_0_cs.py | 32 |
1 files changed, 32 insertions, 0 deletions
diff --git a/config/dest_mlp_tgtcls_0_cs.py b/config/dest_mlp_tgtcls_0_cs.py new file mode 100644 index 0000000..684e653 --- /dev/null +++ b/config/dest_mlp_tgtcls_0_cs.py @@ -0,0 +1,32 @@ +import os +import cPickle + +from blocks.initialization import IsotropicGaussian, Constant + +import data +from model.dest_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 |