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-rw-r--r--config/dest_mlp_tgtcls_1_cs.py32
1 files changed, 32 insertions, 0 deletions
diff --git a/config/dest_mlp_tgtcls_1_cs.py b/config/dest_mlp_tgtcls_1_cs.py
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+++ b/config/dest_mlp_tgtcls_1_cs.py
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+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)
+]
+
+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