CHANGES.md

#Change Log

(v0.3) (not yet released)

• Fix bug in predict() for LombScargle methods when center_data=False
• Fix bug in score() for LombScargle methods when center_data=False and fit_offset=False

(v0.2.1) bugfix release (19 Aug 2015)

• Fix installation issues PR 11
• Fix corner cases in rrlyrae_fast
• Fix so that data does not download on import
• Make astroML a soft dependency
• ipython-style code snippets in documentation

(v0.2) Feature Release (07 June 2015)

• Improved test coverage & refactored much of the code
• Refactored datasets objects to be picklable for easier parallel analysis
• New feature: gatspy.periodic.LombScargleFast implements the fast, O[N log(N)] periodogram of Press et al.
• New feature: gatspy.periodic.RRLyraeTemplateModeler implements a template-based fitting method, using the RR Lyrae templates from Sesar (2010)
• sphinx-based documentation build added: http://astroML.org/gatspy/

(v0.1.1) Bug Fix (28 January 2015)

• Catch NaNs in generated rrlyrae light curves
• correctly handle the period=0 case (previously led to assertion error)

(v0.1) Initial Release (28 January 2015)

• Single-band: LombScargle, LombScargleAstroML, SuperSmoother
• Multi-band: LombScargleMultiband, SuperSmootherMultiband
• Datasets: Sesar 2010 RR Lyrae, generated RR Lyrae from templates.