bug fix

data/maker/__init__.py

@@ -79,16 +79,16 @@ class Learner(Process):
             _label = self.info['info'] if 'info' in self.info else _context
             # logger = transport.factory.instance(**self.store['logger']) if 'logger' in self.store else transport.factory.instance(provider=transport.providers.CONSOLE,context='write',lock=True)
             _args = dict({'ndx':self.ndx,'module':self.name,'table':self.info['from'],'context':_context,'info':_label,**_args})
-            if self.logger:
+            if hasattr(self,'logger') :
                 self.logger.write(_args)
             self.ndx += 1
             # if hasattr(logger,'close') :
             #     logger.close()
             pass
         except Exception as e:
-            print ()
-            print (_args)
-            print (e)
+            # print ()
+            # print (_args)
+            # print (e)
             pass
         finally:
            
@@ -182,7 +182,7 @@ class Trainer(Learner):
             _args['gpu'] = self.gpu
         _args['real'] = _matrix
         _args['candidates'] = self.candidates
-        if self.logger :
+        if 'logger' in self.store :
             _args['logger'] = transport.factory.instance(**self.store['logger'])
         #
         # At this point we have the binary matrix, we can initiate training
@@ -256,7 +256,7 @@ class Generator (Learner):
         _args['row_count'] = self._df.shape[0]
         if self.gpu :
             _args['gpu'] = self.gpu
-        if self.logger :
+        if 'logger' in self.store :
             _args['logger'] = transport.factory.instance(**self.store['logger'])        
         gHandler = gan.Predict(**_args)
         gHandler.load_meta(columns=None)

setup.py

@@ -4,7 +4,7 @@ import sys
 
 def read(fname):
     return open(os.path.join(os.path.dirname(__file__), fname)).read() 
-args = {"name":"data-maker","version":"1.5.8",
+args = {"name":"data-maker","version":"1.5.9",
         "author":"Vanderbilt University Medical Center","author_email":"steve.l.nyemba@vumc.org","license":"MIT",
         "packages":find_packages(),"keywords":["healthcare","data","transport","protocol"]}
 args["install_requires"] = ['data-transport@git+https://dev.the-phi.com/git/steve/data-transport.git','tensorflow']