commit f6d2c6fc47f93b158b70b5c0c9a45324041ca4d5
parent b956078f7be28ea9dc763479a572f9e2efbeabaa
Author: Alex Auvolat <alex.auvolat@ens.fr>
Date: Thu, 21 May 2015 11:01:00 -0400
Fix new models.
Diffstat:
3 files changed, 12 insertions(+), 9 deletions(-)
diff --git a/config/joint_simple_mlp_tgtcls_111_cswdtx_bigger.py b/config/joint_simple_mlp_tgtcls_111_cswdtx_bigger.py
@@ -1,17 +1,18 @@
+import os
import cPickle
-import model.joint_simple_mlp_tgtcls as model
-
from blocks.initialization import IsotropicGaussian, Constant
import data
+from model.joint_simple_mlp_tgtcls import Model, Stream
+
n_begin_end_pts = 10 # how many points we consider at the beginning and end of the known trajectory
n_end_pts = 10
n_valid = 1000
-with open("%s/arrival-clusters.pkl" % data.path) as f:
+with open(os.path.join(data.path, 'arrival-clusters.pkl')) as f:
dest_tgtcls = cPickle.load(f)
# generate target classes for time prediction as a Fibonacci sequence
diff --git a/config/joint_simple_mlp_tgtcls_111_cswdtx_bigger_dropout.py b/config/joint_simple_mlp_tgtcls_111_cswdtx_bigger_dropout.py
@@ -1,17 +1,18 @@
+import os
import cPickle
-import model.joint_simple_mlp_tgtcls as model
-
from blocks.initialization import IsotropicGaussian, Constant
import data
+from model.joint_simple_mlp_tgtcls import Model, Stream
+
n_begin_end_pts = 10 # how many points we consider at the beginning and end of the known trajectory
n_end_pts = 10
n_valid = 1000
-with open("%s/arrival-clusters.pkl" % data.path) as f:
+with open(os.path.join(data.path, 'arrival-clusters.pkl')) as f:
dest_tgtcls = cPickle.load(f)
# generate target classes for time prediction as a Fibonacci sequence
diff --git a/config/joint_simple_mlp_tgtcls_1_cswdtx_bigger.py b/config/joint_simple_mlp_tgtcls_1_cswdtx_bigger.py
@@ -1,17 +1,18 @@
+import os
import cPickle
-import model.joint_simple_mlp_tgtcls as model
-
from blocks.initialization import IsotropicGaussian, Constant
import data
+from model.joint_simple_mlp_tgtcls import Model, Stream
+
n_begin_end_pts = 7 # how many points we consider at the beginning and end of the known trajectory
n_end_pts = 7
n_valid = 1000
-with open("%s/arrival-clusters.pkl" % data.path) as f:
+with open(os.path.join(data.path, 'arrival-clusters.pkl')) as f:
dest_tgtcls = cPickle.load(f)
# generate target classes for time prediction as a Fibonacci sequence