diff options
Diffstat (limited to 'config/dest_simple_mlp_tgtcls_1_cswdt.py')
| -rw-r--r-- | config/dest_simple_mlp_tgtcls_1_cswdt.py | 36 |
1 files changed, 0 insertions, 36 deletions
diff --git a/config/dest_simple_mlp_tgtcls_1_cswdt.py b/config/dest_simple_mlp_tgtcls_1_cswdt.py deleted file mode 100644 index 066a14a..0000000 --- a/config/dest_simple_mlp_tgtcls_1_cswdt.py +++ /dev/null @@ -1,36 +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), - ('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] - -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 |