Metadata-Version: 2.1
Name: vtacML
Version: 0.1.6
Summary: A machine learning pipeline to classify objects in VTAC dataset as GRB or not.
Home-page: https://github.com/jerbeario/VTAC_ML
Author: Jeremy Palmerio
Author-email: jeremypalmerio05@gmail.com
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.26.3
Requires-Dist: matplotlib>=3.8.0
Requires-Dist: pandas>=2.1.4
Requires-Dist: scikit-learn>=1.3.0
Requires-Dist: seaborn>=0.12.2
Requires-Dist: yellowbrick>=1.5
Requires-Dist: pyyaml>=6.0.1
Requires-Dist: imblearn>=0.0

# VTAC_ML
Applying machine learning tools to identifying GRBs from simulated data. 
