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changeset 1391:124b939d997f

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* removed temporary caltech_silhouette2 dataset * minor tweak to peaked_modes dataset (used for tempering stuff)
author gdesjardins
date Mon, 20 Dec 2010 18:08:48 -0500
parents 746ebceeb46f
children 2d3cbbb36178
files pylearn/datasets/caltech.py pylearn/datasets/test_modes.py
diffstat 2 files changed, 2 insertions(+), 17 deletions(-) [+]
line wrap: on
line diff
--- a/pylearn/datasets/caltech.py	Mon Dec 20 18:08:04 2010 -0500
+++ b/pylearn/datasets/caltech.py	Mon Dec 20 18:08:48 2010 -0500
@@ -27,20 +27,3 @@
     rval.img_shape = (28,28)
 
     return rval
-
-def caltech_silhouette2():
-
-    rval = Dataset()
-
-    from scipy import io 
-    path = '/data/lisa6/desjagui/caltech101_silhouettes_28_split1.mat'
-
-    data = io.loadmat(open(path,'r'))
-
-    rval.train = Dataset.Obj(x=data['train_data'], y=data['train_labels'])
-    rval.valid = Dataset.Obj(x=data['val_data'],   y=data['val_labels'])
-    rval.test  = Dataset.Obj(x=data['test_data'],  y=data['test_labels'])
-    rval.n_classes = 101
-    rval.img_shape = (28,28)
-
-    return rval
--- a/pylearn/datasets/test_modes.py	Mon Dec 20 18:08:04 2010 -0500
+++ b/pylearn/datasets/test_modes.py	Mon Dec 20 18:08:48 2010 -0500
@@ -131,9 +131,11 @@
 
         for bi, mode in enumerate(modes):
             mi, = numpy.where(mode != 0)
+            modes_i.append(mi)
             bitflip = self.rng.binomial(1,self.p[mi], size=(1, self.img_size))
             data[bi] = numpy.abs(self.modes[mi] - bitflip)
 
         self.data = data
+        self.data_modes = modes_i
 
         return data