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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._df = _args['data'] if 'data' in _args else None
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_args['candidates'] = self.candidates
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filename = os.sep.join([self.network_args['logs'],'output',self.network_args['context'],'map.json'])
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for name in _columns :
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r = {}
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_df = _df.replace('NaT','').replace('NA','')
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"""
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class factory :
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