What's Changed
- Metadata and README updates by @drewoldag in #35
- Issue/17 by @maxwest-uw in #36
- Add memory benchmarks by @jeremykubica in #38
- Create basic tests for query strategy by @jeremykubica in #41
- Remove broken algorithm option by @jeremykubica in #39
- Update benchmarks.py by @jeremykubica in #40
- Update references to
./data/SIMGEN_PUBLIC_DESto use the local cache by @drewoldag in #42 - Add tests for the ensemble-based query strategies by @jeremykubica in #44
- Implement pluggable classifiers for RESSPECT by @drewoldag in #45
- add function that unhardcodes features and filters by @AmandaWasserman in #46
- Separate fitting from prediction in
ResspectClassifierby @drewoldag in #51 - Separate
ResspectClassifier.predictinto two methods by @drewoldag in #54 - Allow loading a pretrained classifier in
learn_loop. by @drewoldag in #55 - Parallelization by @maxwest-uw in #57
- Pluggable query_strategies by @drewoldag in #59
- generalize fit() for non Ia applications by @AmandaWasserman in #56
- Bazin feature names to upper case by @drewoldag in #66
- Scaffolding for pluggable feature extractors by @drewoldag in #61
- Adding stub methods to LightCurve that child classes must implement. by @drewoldag in #67
- Removing erronious GNU GPL notifications from the source tree. by @mtauraso in #65
- Fixing classifier-related bugs by @drewoldag in #69
- Fixing up Dockerfile, adding github action to build image by @mtauraso in #60
- documentation fix by @AmandaWasserman in #76
- Refactoring in support of externally defined feature extractor libraries - i.e. LAISS by @drewoldag in #73
- Refactor time_domain_loop with new TimeDomainConfiguration by @maxwest-uw in #74
- Removing vestigial container by @mtauraso in #75
- change query_thre to query_threshold by @AmandaWasserman in #80
- Changes needed while experimenting with the laiss_resspect_classifier external package by @drewoldag in #77
- change list to a dict by @hmperk18 in #83
- refactor fit_lightcurves and feature output by @maxwest-uw in #79
- refactor loading in features by @maxwest-uw in #84
- Implement a "certainty sampler" to return most anomalous objects by @drewoldag in #89
- Updates to support end-to-end run with laiss-resspect classifier by @drewoldag in #90
New Contributors
Full Changelog: v0.1...v0.2
Contributors
mtauraso, drewoldag, and 4 other contributors