Version 0.3 Feature Release

Changes from 0.2:

• 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
• Make supersmoother a soft dependency
• New feature: gatspy.periodic.TrendedLombScargle extends LombScargle
  by adding a linear trend parameter d*t to the fitted model
• Fixed download URL for RR Lyrae datasets
• Dropped support for Python 2.6 and 3.3

Bug Fix Release

Fix several minor bugs:

• 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

New features, including fast Lomb-Scargle periodogram, template-based fitting methods, and HTML docs.

gatspy 0.1 bug fix release

v0.1.1

gatspy bug fix release