Testing H5Dataset

ArtificialIntelligenceToolkit · Sep 8, 2018 · 900fc1d · 900fc1d
1 parent 92bdd4c
commit 900fc1d
Showing 1 changed file with 4 additions and 4 deletions.
diff --git a/conx/dataset.py b/conx/dataset.py
@@ -2119,12 +2119,12 @@ def __init__(self, f, filename, key, input_banks, target_banks, cache_size=3200,
         >>> font_file = os.path.expanduser("~/.keras/datasets/fonts.hdf5")
 
         >>> if os.path.exists(font_file):
-        ...     ds1 = cx.H5Dataset(f, font_file, "fonts", 1, 1, name="Fonts", load_cache_direct=False,
-        ...                        description='''
+        ...     ds1 = H5Dataset(f, font_file, "fonts", 1, 1, name="Fonts", load_cache_direct=False,
+        ...                     description='''
         ... Based on: https://erikbern.com/2016/01/21/analyzing-50k-fonts-using-deep-neural-networks.html
         ... ''')
-        ...     ds2 = cx.H5Dataset(get_cache, font_file, "fonts", 1, 1, name="Fonts",
-        ...                        description='''
+        ...     ds2 = H5Dataset(get_cache, font_file, "fonts", 1, 1, name="Fonts",
+        ...                     description='''
         ... Based on: https://erikbern.com/2016/01/21/analyzing-50k-fonts-using-deep-neural-networks.html
         ... ''')