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| author | Alex Auvolat <alex.auvolat@ens.fr> | 2015-05-04 17:27:56 -0400 |
|---|---|---|
| committer | Alex Auvolat <alex.auvolat@ens.fr> | 2015-05-04 17:27:56 -0400 |
| commit | 1556e9087f7e49bd75c8e236d2d3fb4fd936dc40 (patch) | |
| tree | aa97cc78177ba28d93c7a0d3ba9e9d8fc49d3acb | |
| parent | 5f42c01231ccec377196472b6f4682b6afeb878d (diff) | |
| download | taxi-1556e9087f7e49bd75c8e236d2d3fb4fd936dc40.tar.gz taxi-1556e9087f7e49bd75c8e236d2d3fb4fd936dc40.zip | |
Fix it
| -rw-r--r-- | config/simple_mlp_tgtcls_0.py | 2 | ||||
| -rw-r--r-- | model/simple_mlp_tgtcls.py | 4 |
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) |