data-maker/data/maker/__init__.py

"""
(c) 2019 Data Maker, hiplab.mc.vanderbilt.edu
version 1.0.0

This package serves as a proxy to the overall usage of the framework.
This package is designed to generate synthetic data from a dataset from an original dataset using deep learning techniques

@TODO:
    - Make configurable GPU, EPOCHS
"""
import pandas as pd
import numpy as np

            }
        else:
            self.network_args = _args['network_args']
        self._encoder = None
        self._map = None
        self._df = _args['data'] if 'data' in _args else None
            if hasattr(self,'logger') :
            #
            _info = self._queue.get()
        beg = datetime.now() #.strftime('%Y-%m-%d %H:%M:%S')
        self.log(**{'action':'init-map','input':{'filename':filename,'exists':os.path.exists(filename)}})
        _columns = self.info['approximate']
               
    def format(self,_df,_schema):
                    # _df[name] = _df[name].astype(str)
            _store = None