From 1ffd1fc355f6fddcb6cd3d93c0df58513d064472 Mon Sep 17 00:00:00 2001 From: Alex Auvolat Date: Thu, 7 May 2015 13:16:23 -0400 Subject: Add target class based model for time prediction (seems to work) --- config/time_simple_mlp_tgtcls_2_cswdtx.py | 41 +++++++++++++++++++++++++++++++ 1 file changed, 41 insertions(+) create mode 100644 config/time_simple_mlp_tgtcls_2_cswdtx.py (limited to 'config') diff --git a/config/time_simple_mlp_tgtcls_2_cswdtx.py b/config/time_simple_mlp_tgtcls_2_cswdtx.py new file mode 100644 index 0000000..4579df3 --- /dev/null +++ b/config/time_simple_mlp_tgtcls_2_cswdtx.py @@ -0,0 +1,41 @@ +import model.time_simple_mlp_tgtcls as model + +from blocks.initialization import IsotropicGaussian, Constant + +import data + +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 + +# generate target classes as a Fibonacci sequence +tgtcls = [1, 2] +for i in range(22): + tgtcls.append(tgtcls[-1] + tgtcls[-2]) + +dim_embeddings = [ + ('origin_call', data.origin_call_size+1, 10), + ('origin_stand', data.stands_size+1, 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, 100] +dim_output = len(tgtcls) + +embed_weights_init = IsotropicGaussian(0.001) +mlp_weights_init = IsotropicGaussian(0.01) +mlp_biases_init = Constant(0.001) + +exp_base = 1.5 + +learning_rate = 0.0001 +momentum = 0.99 +batch_size = 32 + +valid_set = 'cuts/test_times_0' -- cgit v1.2.3