bug fix
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parent
d42d601be7
commit
7af3c3db6a
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@ -79,16 +79,16 @@ class Learner(Process):
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_label = self.info['info'] if 'info' in self.info else _context
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_label = self.info['info'] if 'info' in self.info else _context
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# logger = transport.factory.instance(**self.store['logger']) if 'logger' in self.store else transport.factory.instance(provider=transport.providers.CONSOLE,context='write',lock=True)
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# logger = transport.factory.instance(**self.store['logger']) if 'logger' in self.store else transport.factory.instance(provider=transport.providers.CONSOLE,context='write',lock=True)
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_args = dict({'ndx':self.ndx,'module':self.name,'table':self.info['from'],'context':_context,'info':_label,**_args})
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_args = dict({'ndx':self.ndx,'module':self.name,'table':self.info['from'],'context':_context,'info':_label,**_args})
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if self.logger:
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if hasattr(self,'logger') :
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self.logger.write(_args)
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self.logger.write(_args)
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self.ndx += 1
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self.ndx += 1
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# if hasattr(logger,'close') :
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# if hasattr(logger,'close') :
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# logger.close()
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# logger.close()
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pass
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pass
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except Exception as e:
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except Exception as e:
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print ()
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# print ()
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print (_args)
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# print (_args)
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print (e)
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# print (e)
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pass
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pass
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finally:
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finally:
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@ -182,7 +182,7 @@ class Trainer(Learner):
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_args['gpu'] = self.gpu
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_args['gpu'] = self.gpu
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_args['real'] = _matrix
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_args['real'] = _matrix
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_args['candidates'] = self.candidates
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_args['candidates'] = self.candidates
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if self.logger :
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if 'logger' in self.store :
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_args['logger'] = transport.factory.instance(**self.store['logger'])
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_args['logger'] = transport.factory.instance(**self.store['logger'])
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#
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#
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# At this point we have the binary matrix, we can initiate training
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# At this point we have the binary matrix, we can initiate training
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@ -256,7 +256,7 @@ class Generator (Learner):
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_args['row_count'] = self._df.shape[0]
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_args['row_count'] = self._df.shape[0]
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if self.gpu :
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if self.gpu :
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_args['gpu'] = self.gpu
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_args['gpu'] = self.gpu
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if self.logger :
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if 'logger' in self.store :
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_args['logger'] = transport.factory.instance(**self.store['logger'])
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_args['logger'] = transport.factory.instance(**self.store['logger'])
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gHandler = gan.Predict(**_args)
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gHandler = gan.Predict(**_args)
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gHandler.load_meta(columns=None)
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gHandler.load_meta(columns=None)
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2
setup.py
2
setup.py
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@ -4,7 +4,7 @@ import sys
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def read(fname):
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def read(fname):
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return open(os.path.join(os.path.dirname(__file__), fname)).read()
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return open(os.path.join(os.path.dirname(__file__), fname)).read()
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args = {"name":"data-maker","version":"1.5.8",
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args = {"name":"data-maker","version":"1.5.9",
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"author":"Vanderbilt University Medical Center","author_email":"steve.l.nyemba@vumc.org","license":"MIT",
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"author":"Vanderbilt University Medical Center","author_email":"steve.l.nyemba@vumc.org","license":"MIT",
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"packages":find_packages(),"keywords":["healthcare","data","transport","protocol"]}
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"packages":find_packages(),"keywords":["healthcare","data","transport","protocol"]}
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args["install_requires"] = ['data-transport@git+https://dev.the-phi.com/git/steve/data-transport.git','tensorflow']
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args["install_requires"] = ['data-transport@git+https://dev.the-phi.com/git/steve/data-transport.git','tensorflow']
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