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data-maker/data/maker/__init__.py

440 lines
17 KiB
Python

"""
(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
self._df = _args['data'] if 'data' in _args else None
return [] #{'name':self._df.dtypes.index.tolist()[i],'type':self._df.dtypes.astype(str).tolist()[i]}for i in range(self._df.dtypes.shape[0])]
super().__init__(**_args)
# g.run()
3 years ago
_date = datetime(year=year,month=month,day=day,minute=0,hour=0,second=0)
if 'format' in self.info and name in self.info['format'] :
return _df
3 years ago
def __init__(self,**_args):