diff options
| -rw-r--r-- | config/simple_mlp_tgtcls_1.py | 25 | ||||
| -rw-r--r-- | train.py | 4 |
2 files changed, 27 insertions, 2 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 @@ -110,7 +110,7 @@ def main(): # Checkpoint('model.pkl', every_n_batches=100), Dump('model_data/' + model_name, every_n_batches=1000), LoadFromDump('model_data/' + model_name), - FinishAfter(after_epoch=5) + FinishAfter(after_epoch=10), ] main_loop = MainLoop( @@ -124,7 +124,7 @@ def main(): # Produce an output on the test data test_stream = setup_test_stream() - outfile = open("test-output.csv", "w") + outfile = open("test-output-%s.csv" % model_name, "w") outcsv = csv.writer(outfile) outcsv.writerow(["TRIP_ID", "LATITUDE", "LONGITUDE"]) for out in apply_model.Apply(outputs=outputs, stream=test_stream, return_vars=['trip_id', 'outputs']): |