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| author | Alex Auvolat <alex.auvolat@ens.fr> | 2015-05-05 14:15:21 -0400 |
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| committer | Alex Auvolat <alex.auvolat@ens.fr> | 2015-05-05 14:15:21 -0400 |
| commit | 54613c1f9cf510ca7a71d6619418f2247515aec6 (patch) | |
| tree | bed9a5a11ef5b7feecee44095a29400e32f76b05 /config/simple_mlp_tgtcls_1_cswdt.py | |
| parent | 712035b88be1816d3fbd58ce69ae6464767c780e (diff) | |
| download | taxi-54613c1f9cf510ca7a71d6619418f2247515aec6.tar.gz taxi-54613c1f9cf510ca7a71d6619418f2247515aec6.zip | |
Add models for time predictioAdd models for time prediction
Diffstat (limited to 'config/simple_mlp_tgtcls_1_cswdt.py')
| -rw-r--r-- | config/simple_mlp_tgtcls_1_cswdt.py | 29 |
1 files changed, 0 insertions, 29 deletions
diff --git a/config/simple_mlp_tgtcls_1_cswdt.py b/config/simple_mlp_tgtcls_1_cswdt.py deleted file mode 100644 index 45bd39e..0000000 --- a/config/simple_mlp_tgtcls_1_cswdt.py +++ /dev/null @@ -1,29 +0,0 @@ -import cPickle - -import data - -import model.simple_mlp_tgtcls as model - -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_embeddings = [ - ('origin_call', data.n_train_clients+1, 10), - ('origin_stand', data.n_stands+1, 10), - ('week_of_year', 52, 10), - ('day_of_week', 7, 10), - ('qhour_of_day', 24 * 4, 10), - ('day_type', 3, 10), -] - -dim_input = n_begin_end_pts * 2 * 2 + sum(x for (_, _, x) in dim_embeddings) -dim_hidden = [500] -dim_output = tgtcls.shape[0] - -learning_rate = 0.0001 -momentum = 0.99 -batch_size = 32 |