From 3ee3dec6a1f5b33488fb7740b01fe63eedc89d1c Mon Sep 17 00:00:00 2001 From: Sartaj Bhuvaji Date: Sun, 4 Feb 2024 09:31:27 -0800 Subject: [PATCH] v1.0.0 --- PYPI_README.md | 2 +- README.md | 2 +- docs/README.md | 1 - setup.py | 4 ++-- 4 files changed, 4 insertions(+), 5 deletions(-) delete mode 100644 docs/README.md diff --git a/PYPI_README.md b/PYPI_README.md index 8e14441..4677ac2 100644 --- a/PYPI_README.md +++ b/PYPI_README.md @@ -5,7 +5,7 @@ ## 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 Autoencoders and SMOTE to generate synthetic data. +- The current dittto version `v1.0.0` uses Autoencoders and SMOTE to generate synthetic data. ## Getting Started `pip install sdgne` diff --git a/README.md b/README.md index 56a3ea6..d6d36a6 100644 --- a/README.md +++ b/README.md @@ -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 Autoencoders and SMOTE to generate synthetic data. +- The current dittto version `v1.0.0` uses Autoencoders and SMOTE to generate synthetic data. ## Getting Started `pip install sdgne` diff --git a/docs/README.md b/docs/README.md deleted file mode 100644 index 3b839a0..0000000 --- a/docs/README.md +++ /dev/null @@ -1 +0,0 @@ -# GITHUB PAGE \ No newline at end of file diff --git a/setup.py b/setup.py index 86b3474..798924b 100644 --- a/setup.py +++ b/setup.py @@ -7,8 +7,8 @@ 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"