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author | Alex Auvolat <alex.auvolat@ens.fr> | 2015-05-05 09:30:32 -0400 |
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committer | Alex Auvolat <alex.auvolat@ens.fr> | 2015-05-05 09:30:32 -0400 |
commit | 95b565afb7e1c2a6eb23ca9f7c13cd6efaf55a39 (patch) | |
tree | 2f40fdf2e80c00ca41c5fb55b597867d2ac9b26b /config | |
parent | 1556e9087f7e49bd75c8e236d2d3fb4fd936dc40 (diff) | |
download | taxi-95b565afb7e1c2a6eb23ca9f7c13cd6efaf55a39.tar.gz taxi-95b565afb7e1c2a6eb23ca9f7c13cd6efaf55a39.zip |
New config (added a hidden layer), small changes to train.py
Diffstat (limited to 'config')
-rw-r--r-- | config/simple_mlp_tgtcls_1.py | 25 |
1 files changed, 25 insertions, 0 deletions
diff --git a/config/simple_mlp_tgtcls_1.py b/config/simple_mlp_tgtcls_1.py new file mode 100644 index 0000000..8d6c37b --- /dev/null +++ b/config/simple_mlp_tgtcls_1.py @@ -0,0 +1,25 @@ +import cPickle + +import data + +import model.simple_mlp_tgtcls as model + +n_dow = 7 # number of division for dayofweek/dayofmonth/hourofday +n_dom = 31 +n_hour = 24 + +n_begin_end_pts = 5 # how many points we consider at the beginning and end of the known trajectory +n_end_pts = 5 + +n_valid = 1000 + +with open(data.DATA_PATH + "/arrival-clusters.pkl") as f: tgtcls = cPickle.load(f) + +dim_embed = 10 +dim_input = n_begin_end_pts * 2 * 2 + dim_embed + dim_embed +dim_hidden = [500] +dim_output = tgtcls.shape[0] + +learning_rate = 0.0001 +momentum = 0.99 +batch_size = 32 |