This commit is contained in:
Steve Nyemba 2022-08-31 17:26:45 -05:00
parent d42d601be7
commit 7af3c3db6a
2 changed files with 7 additions and 7 deletions

View File

@ -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)

View File

@ -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']