### Note: Contributors to this repository _are not disqualified_ from competing in the PLAsTiCC.

# proclam

PRObabilistic CLAssification Metrics

## Motivation

This is a space for developing the metrics for the Photometric LSST AStronomical TIme Series Classification Challenge (PLAsTiCC).

An immediate goal is to implement the metrics described [here](https://drive.google.com/file/d/1b8q0mp2lDo8xbKOs15GS4WLKKNMK_TY7/view?usp=sharing) and demonstrate them on mock classification results, in an effort to identify the vulnerabilities and strengths of the metrics we're considering.

This repository will serve not only as a space for experimenting with how to combine metrics to declare a winner for the Kaggle/RAMP competition requirements but also for testing further metrics for science-specific papers.  The code thus has a flexible, modular architecture that can be recycled for future competitions with different science goals.

## Organization

To get involved, check out the `README`s in the code directories.

## Contact

* [Alex Malz](https://github.com/aimalz) (NYU)
* [Renee Hlozek](https://github.com/reneehlozek) (U. Toronto)
* [Gautham Narayan](https://github.com/gnarayan) (STScI)
* [Rahul Biswas](https://github.com/rbiswas4) (U. Stockholm)
* The PLAsTiCC Team