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v1.0.0 #5

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Feb 4, 2024
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v1.0.0 #5

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2 changes: 1 addition & 1 deletion PYPI_README.md
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## About
- SDGnE (Synthetic Data Generation and Evaluation) is a Python package designed to generate synthetic data and evaluate its quality using neural network models.
- This tool is intended for developers and researchers who require synthetic datasets for testing and development.
- The current dittto version `v0.2.0` uses <i>Autoencoders</i> and <i>SMOTE</i> to generate synthetic data.
- The current dittto version `v1.0.0` uses <i>Autoencoders</i> and <i>SMOTE</i> to generate synthetic data.

## Getting Started
`pip install sdgne`
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -30,7 +30,7 @@
## About
- SDGnE (Synthetic Data Generation and Evaluation) is a Python package designed to generate synthetic data and evaluate its quality using neural network models.
- This tool is intended for developers and researchers who require synthetic datasets for testing and development.
- The current dittto version `v0.2.0` uses <i>Autoencoders</i> and <i>SMOTE</i> to generate synthetic data.
- The current dittto version `v1.0.0` uses <i>Autoencoders</i> and <i>SMOTE</i> to generate synthetic data.

## Getting Started
`pip install sdgne`
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1 change: 0 additions & 1 deletion docs/README.md
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4 changes: 2 additions & 2 deletions setup.py
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with codecs.open(os.path.join(here, "PYPI_README.md"), encoding="utf-8") as fh:
long_description = "\n" + fh.read()

VERSION = '0.2.2'
DESCRIPTION = 'Generates synthetic data'
VERSION = '1.0.0'
DESCRIPTION = 'Synthetic Data Generation and Evaluation'
LONG_DESCRIPTION = long_description
URL = "https://github.com/SartajBhuvaji"

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