CHANGELOG.md

# Changelog

## [1.0.3] - 2022-09-07

- Restrict scikit-learn to v1.1.1 due to model persistance 
- Update links to classifiers because project is moved

## [1.0.2] - 2022-07-09

- Add python 3.10 testing
- Bump sklearn version to 1.1. Retrain classifiers.
- Add `request_disk` to the condor submit file. Using 1GB as a start.
- Restrict astropy >= 5.1.

## [1.0.1] - 2022-03-15

- Fix failing test v1.0.0.

## [1.0.0] - 2022-03-15

- Add EoS marginalization to HasNS and HasRemnant. After this, the
  package data will contain classifiers trained on several different
  NS equations of state from literature. The HasNS and HasRemnant score
  will be computed from each, and re-weighted based on the bayes factor
  calculation done by Ghosh et. al. in https://doi.org/10.1103/PhysRevD.104.083003.

- Drop python 3.7 support since IGWN environments no longer support it.

## [0.1.6] - 2022-02-18

- Make htcondor a dev dependency.

## [0.1.5] - 2022-01-18

- implement fetching and caching package data using `astropy.data.utils`.

## [0.1.4] - 2022-01-13

- Update dependencies meeting SCCB requirements.

## [0.1.3] - 2022-01-07

- Re-implement dag writer using htcondor python bindings.
- Remove unnecessary configuration variables from conf.ini.
- Don't package the classifiers; they will be downloaded if not present.
- Add injected redshift to the categorization output.
- Remove pin for astropy.

## [0.1.2] - 2021-10-27

- Handle hdf5 files using context manager.
- Minor bug fixes in handling arrays in `computeDiskMass` code.

## [0.1.1] - 2021-10-06

- Make `source_classification_pe` work for both aligned and precessing cases
- Relax h5py>=2.10.0
- Fix documentation

## [0.1.0] - 2021-09-18

- Port over em-bright functionaility from p-astro SHA 0b9c8247
- Switch to poetry for dependency management and packaging
- Demote data directory from a package stage; use pathlib
- Trim DAG writing script to only em-bright training components
- Remove scikit-learn pin; use latest release
- Retrain and replace classifiers using scikit-learn==0.24.2