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data-maker/data/maker/__init__.py

193 lines
6.5 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
ROUND_UP = 2
# _BINARY= ContinuousToDiscrete.binary(X,BIN_SIZE)
args['store'] = copy.deepcopy(_args['store']['logs'])
trainer = gan.Train(**args)
#
# @TODO: Write the map.json in the output directory for the logs
#
3 years ago
# Let us now format the matrices by reverting them to a data-frame with values