data-maker/pipeline.py

#!/usr/bin/env python3
	@staticmethod
		df = pd.read_gbq(SQL,credentials=credentials,dialect='standard')
		data.maker.train(**_args)
		# if int(args['num_gpu']) > 1 :
		
				
		# 	_pname = os.sep.join([folder,table])+'.csv'
		# 	data_comp.to_csv( _pname,index=False)
		# 	_args['data'].to_csv(_fname,index=False)
		index = f[0] if f else 0
		generator = Components()
		# 		# generator.generate(args)