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Has the ability to save a model as tflite format.\nThe parameter dict should come in the format {\"extension1\": object1, \"extension2\": object2 ... }.\nThe calibration_data is only used when saving a model as tflite format, and should be a representation of the dataset.\n\n## Additional features \n\n### Constants file\nThe constants used on EASIER-AI services are stored in _common_functions/constants.py_ file. It can be imported as:\n\n> import common_functions.constants as constants\n\n### Advanced logger\nThis logger has the same syntax as the default _logging_ python library. It needs to be imported and initialized as:\n\n> from common_functions.logger import Logger\n\n> logger = Logger(service_name, filename)\n\nIt then can be used as logger.info(message), logger.debug(message, additional_info), etc.\n\nThis logger, apart from printing to console, uploads each log instance to Elasticsearch via Logstash, through a TCP port. 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