From 98139f573eb179c8f5a06ba6c8d8883376814ccf Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=C3=89tienne=20Simon?= Date: Thu, 2 Jul 2015 12:59:15 -0400 Subject: Remove _simple --- config/dest_mlp_tgtcls_1_cswdtx.py | 40 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 40 insertions(+) create mode 100644 config/dest_mlp_tgtcls_1_cswdtx.py (limited to 'config/dest_mlp_tgtcls_1_cswdtx.py') diff --git a/config/dest_mlp_tgtcls_1_cswdtx.py b/config/dest_mlp_tgtcls_1_cswdtx.py new file mode 100644 index 0000000..1a39dfd --- /dev/null +++ b/config/dest_mlp_tgtcls_1_cswdtx.py @@ -0,0 +1,40 @@ +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), + ('week_of_year', 52, 10), + ('day_of_week', 7, 10), + ('qhour_of_day', 24 * 4, 10), + ('day_type', 3, 10), + ('taxi_id', 448, 10), +] + +dim_input = n_begin_end_pts * 2 * 2 + sum(x for (_, _, x) in dim_embeddings) +dim_hidden = [500] +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 = 100 + +use_cuts_for_training = True +max_splits = 1 + +valid_set = 'cuts/test_times_0' + -- cgit v1.2.3