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"""
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(c) 2019 Data Maker, hiplab.mc.vanderbilt.edu
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version 1.0.0
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This package serves as a proxy to the overall usage of the framework.
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This package is designed to generate synthetic data from a dataset from an original dataset using deep learning techniques
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@TODO:
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- Make configurable GPU, EPOCHS
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"""
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import pandas as pd
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import numpy as np
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self.name = self.__class__.__name__
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_log = {'action':'data-prep','input':{'rows':self._df.shape[0],'cols':self._df.shape[1]} }
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# g.run()
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end = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
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offset = _args['offset'] if 'offset' in _args else 0
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