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authorÉtienne Simon <esimon@esimon.eu>2015-07-02 12:59:15 -0400
committerÉtienne Simon <esimon@esimon.eu>2015-07-02 12:59:15 -0400
commit98139f573eb179c8f5a06ba6c8d8883376814ccf (patch)
treef27270d80cb91c19639227c921549f762eda2f72 /config/time_mlp_tgtcls_2_cswdtx.py
parenta4b190516d00428b1d8a81686a3291e5fa5f9865 (diff)
downloadtaxi-98139f573eb179c8f5a06ba6c8d8883376814ccf.tar.gz
taxi-98139f573eb179c8f5a06ba6c8d8883376814ccf.zip
Remove _simple
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diff --git a/config/time_mlp_tgtcls_2_cswdtx.py b/config/time_mlp_tgtcls_2_cswdtx.py
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+from blocks.initialization import IsotropicGaussian, Constant
+
+import data
+from model.time_mlp_tgtcls import Model, Stream
+
+
+n_begin_end_pts = 5 # how many points we consider at the beginning and end of the known trajectory
+
+# 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, 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, 100]
+dim_output = len(tgtcls)
+
+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