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-rw-r--r--config/dest_simple_mlp_tgtcls_1_cs.py8
1 files changed, 5 insertions, 3 deletions
diff --git a/config/dest_simple_mlp_tgtcls_1_cs.py b/config/dest_simple_mlp_tgtcls_1_cs.py
index 8136f10..48d9fa0 100644
--- a/config/dest_simple_mlp_tgtcls_1_cs.py
+++ b/config/dest_simple_mlp_tgtcls_1_cs.py
@@ -9,11 +9,11 @@ n_end_pts = 5
n_valid = 1000
-with open(data.DATA_PATH + "/arrival-clusters.pkl") as f: tgtcls = cPickle.load(f)
+with open("%s/arrival-clusters.pkl" % data.path) as f: tgtcls = cPickle.load(f)
dim_embeddings = [
- ('origin_call', data.n_train_clients+1, 10),
- ('origin_stand', data.n_stands+1, 10)
+ ('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)
@@ -23,3 +23,5 @@ dim_output = tgtcls.shape[0]
learning_rate = 0.0001
momentum = 0.99
batch_size = 32
+
+valid_set = 'cuts/test_times_0'