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-rw-r--r--config/simple_mlp_tgtcls_0.py2
-rw-r--r--model/simple_mlp_tgtcls.py4
2 files changed, 1 insertions, 5 deletions
diff --git a/config/simple_mlp_tgtcls_0.py b/config/simple_mlp_tgtcls_0.py
index 9ccfbfd..91770c2 100644
--- a/config/simple_mlp_tgtcls_0.py
+++ b/config/simple_mlp_tgtcls_0.py
@@ -17,7 +17,7 @@ with open(data.DATA_PATH + "/arrival-clusters.pkl") as f: tgtcls = cPickle.load(
dim_embed = 10
dim_input = n_begin_end_pts * 2 * 2 + dim_embed + dim_embed
-dim_hidden = [200]
+dim_hidden = []
dim_output = tgtcls.shape[0]
learning_rate = 0.0001
diff --git a/model/simple_mlp_tgtcls.py b/model/simple_mlp_tgtcls.py
index 99a459a..fecd900 100644
--- a/model/simple_mlp_tgtcls.py
+++ b/model/simple_mlp_tgtcls.py
@@ -44,10 +44,6 @@ class Model(object):
cls_probas = mlp.apply(inputs)
outputs = tensor.dot(cls_probas, classes)
- # Normalize & Center
- # outputs = theano.printing.Print("normal_outputs")(outputs)
- outputs = data.data_std * outputs + data.porto_center
-
# outputs = theano.printing.Print("outputs")(outputs)
# y = theano.printing.Print("y")(y)