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
            pass
            no_value = [type(value) in [int,float,np.int64,np.int32,np.float32,np.float64] for value in self._df[name].values[_index]]            
    """
        if self.gpu :
            _args['gpu'] = self.gpu
        g = Generator(**_args)
        # g.run() 
                
        month   = np.random.randint(1,13)
                    _dates = [self.make_date(year=_year,field=name) for _year in years]
        super().__init__(**_args)
    @staticmethod