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data-maker/data/maker/__init__.py

511 lines
20 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
}
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()
3 years ago
month = np.random.randint(1,13)
_dates = [self.make_date(year=_year,field=name) for _year in years]
super().__init__(**_args)
def instance(**_args):