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					@ -74,6 +74,13 @@ class Components :
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							# pointer  = args['reader'] if 'reader' in args else lambda: Components.get(**args)
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							# pointer  = args['reader'] if 'reader' in args else lambda: Components.get(**args)
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							df = args['data']
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							df = args['data']
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							if 'slice' in args and 'max_rows' in args['slice']:
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								max_rows = args['slice']['max_rows']
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								if df.shape[0] > max_rows :
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									print (".. slicing ")
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									i = np.random.choice(df.shape[0],max_rows,replace=False)
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									df = df.iloc[i]
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							# if df.shape[0] == 0 :
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							# if df.shape[0] == 0 :
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							# 	print ("CAN NOT TRAIN EMPTY DATASET ")
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							# 	print ("CAN NOT TRAIN EMPTY DATASET ")
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					@ -117,9 +124,10 @@ class Components :
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							logger.write({"module":"train","action":"train","input":info})
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							logger.write({"module":"train","action":"train","input":info})
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							data.maker.train(**_args)
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							data.maker.train(**_args)
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							if set(['drone','autopilot']) in set( list(args.keys())) :
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							if set(['drone','autopilot']) in set( list(args.keys())) :
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								print (['drone mode enabled ....'])
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								print (['drone mode enabled ....'])
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								data.maker.generate(**args)
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								self.generate(**args)
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							pass
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							pass
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					@ -156,6 +164,7 @@ class Components :
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							# df = reader()
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							# df = reader()
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							df = args['reader']() if 'reader' in args else args['data']
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							df = args['reader']() if 'reader' in args else args['data']
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							# bounds = Components.split(df,MAX_ROWS,PART_SIZE)
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							# bounds = Components.split(df,MAX_ROWS,PART_SIZE)
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							# if partition != '' :
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							# if partition != '' :
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							# 	columns = args['columns']
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							# 	columns = args['columns']
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