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No else statement

coffee_measurement/src/train.py

Lines 29 to 48 in 2419f28

 if os.path.isdir(args.input): 

 # Load all csv files 

 _files = list(map(lambda y: os.path.join(args.input, y), 

 filter(lambda x: x.endswith('.csv'), os.listdir(args.input)))) 

 _loaded, _failed = 0, 0 

 for _file in _files: 

 try: 

 loaded_df.append(pd.read_csv(_file)) 

 _loaded += 1 

 except Exception as e: 

 logging.warning('"{0}" can\'t be loaded.'.format(_file)) 

 logging.warning(str(e)) 

 _failed += 1 

 logging.info('{0} file(s) were loaded.'.format(_loaded)) 

 if _failed > 0: 

 logging.info('{0} file(s) were failed to load.'.format(_failed)) 

 elif args.input.lower().endswith('.csv'): 

 # Load csv file 

 loaded_df.append(pd.read_csv(args.input)) 

 logging.info('"{0}" loaded'.format(args.input.lower()))

Add docker file

Integrate the docker image/file to the project, the integrated version should have following abilities:

Start a project with docker file only.
Create ML model in text/pickle format in a folder which contains training data that user gave.

Write doc file for ml modules.

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	if os.path.isdir(args.input):
	# Load all csv files
	_files = list(map(lambda y: os.path.join(args.input, y),
	filter(lambda x: x.endswith('.csv'), os.listdir(args.input))))
	_loaded, _failed = 0, 0
	for _file in _files:
	try:
	loaded_df.append(pd.read_csv(_file))
	_loaded += 1
	except Exception as e:
	logging.warning('"{0}" can\'t be loaded.'.format(_file))
	logging.warning(str(e))
	_failed += 1
	logging.info('{0} file(s) were loaded.'.format(_loaded))
	if _failed > 0:
	logging.info('{0} file(s) were failed to load.'.format(_failed))
	elif args.input.lower().endswith('.csv'):
	# Load csv file
	loaded_df.append(pd.read_csv(args.input))
	logging.info('"{0}" loaded'.format(args.input.lower()))

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