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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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BOUNDS = ContinuousToDiscrete.bounds(X,BIN_SIZE)
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values = []
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# column_id = args['id']
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context = args['context']
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CONTINUOUS = args['continuous'] if 'continuous' in args else []
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column = args['column'] if (isinstance(args['column'],list)) else [args['column']]
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r = handler.apply()
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