Metadata-Version: 2.4
Name: MicroLIA
Version: 2.7.2
Summary: Machine learning classifier for microlensing event detection
Home-page: https://github.com/Professor-G/MicroLIA
Author: Daniel Godinez
Author-email: danielgodinez123@gmail.com
License: GPL-3.0
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9, <3.10
License-File: LICENSE.txt
Requires-Dist: numpy
Requires-Dist: scikit-learn==1.1.1
Requires-Dist: scikit-optimize==0.9.0
Requires-Dist: astropy==5.0.4
Requires-Dist: scipy==1.7.3
Requires-Dist: peakutils==1.3.3
Requires-Dist: progress==1.6
Requires-Dist: matplotlib==3.5.1
Requires-Dist: optuna==3.1.0
Requires-Dist: boruta==0.3
Requires-Dist: BorutaShap==1.0.16
Requires-Dist: xgboost==1.6.1
Requires-Dist: scikit-plot==0.3.7
Requires-Dist: opencv-python==4.7.0.68
Requires-Dist: pandas==1.4.1
Requires-Dist: dill
Requires-Dist: gatspy==0.3
Requires-Dist: astroML==1.0.2.post1
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: home-page
Dynamic: license
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

A machine learning pipeline for detecting microlensing events using tree-based models and feature extraction from OGLE data.
