This repository This repository was created to keep the code referenced in a paper submitted for publication in a scientific journal.
There are some helper functions wrote to plot resources and and computing features. I import the following Python Modules:
- NumPy (version 1.18.0) - https://numpy.org/
- SciPy (version 1.4.0) - https://www.scipy.org/
- Scikit-learn (version 0.23.2) - https://scikit-learn.org/
- XGBoost (version 1.1.0) - https://s3-us-west-2.amazonaws.com/xgboost-nightly-builds/list.html?prefix=release_1.0.0/
- imbalance-learn (version 0.6.0) - https://pypi.org/project/imbalanced-learn/0.6.0/
Python version 3.8.1 see documentation https://docs.python.org/release/3.8.1/
After install, run benchmark.py code to check if all its ok.
The datasets used in paper was downloaded from https://dept.astro.lsa.umich.edu/datasets/umrao.phpuploaded.
No light curves, or analysis of these data, may be included in papers submitted for publication without the consent of Hugh or Margo Aller.
The description and plots included here were last updated on August 23, 2012. For questions or for additional data, contact Margo Aller (mfa@umich.edu).
This research has made use of data from the University of Michigan Radio Astronomy Observatory which has been supported by the University of Michigan and by a series of grants from the National Science Foundation, most recently AST-0607523.
If you want contact me, send a e-mail to sbsoltau@gmail.com