This is the second 1.0 beta release.
- Add metrics preprocessing functions :py:mod:`solarforecastarbiter.metrics.preprocessing.apply_validation`, :py:mod:`solarforecastarbiter.metrics.preprocessing.resample_and_align`, and :py:mod:`solarforecastarbiter.metrics.preprocessing.exclude`. (:pull:`221`)
- Add additional metrics for deterministic forecasts :py:mod:`solarforecastarbiter.metrics.deterministic.kolmogorov_smirnov_integral`, :py:mod:`solarforecastarbiter.metrics.deterministic.over`, and :py:mod:`solarforecastarbiter.metrics.deterministic.combined_performance_index`. (:pull:`230`)
- Add metrics for probabilistic forecasts :py:mod:`solarforecastarbiter.metrics.probabilistic.brier_score`, :py:mod:`solarforecastarbiter.metrics.probabilistic.brier_skill_score`, :py:mod:`solarforecastarbiter.metrics.probabilistic.brier_decomposition`, :py:mod:`solarforecastarbiter.metrics.probabilistic.reliability`, :py:mod:`solarforecastarbiter.metrics.probabilistic.resolution`, :py:mod:`solarforecastarbiter.metrics.probabilistic.uncertainty`, and :py:mod:`solarforecastarbiter.metrics.probabilistic.sharpness`. (:issue:`115`) (:issue:`232`) (:issue:`233`) (:pull:`202`)
- Moved temporary functions from report to metrics calculator. (:pull:`221`)
- Add Aggregate to the datamodel, allow forecasts to reference either a Site or an Aggregate, and add corresponding Aggregate methods to the APISession (:pull:`235`)
- Require that a list of template Forecasts/ProbabilisticForecasts is passed to :py:mod:`solarforecastarbiter.io.reference_observations.common.create_forecasts` (:pull:`240`)
- Add function to process report JSON objects into datamodel.Report objects :py:mod:`solarforecastarbiter.io.api.APISession.process_report_dict` (:pull:`249`)
- Add function to compute an aggregate timeseries (:pull:`223`)
- Simplify the creation of ProbabilisticForecast objects by passing a list of
floats to
constant_valuesto automatically create :py:mod:`solarforecastarbiter.datamodel.ProbabilisticForecastConstantValues` - Make API requests for probabilistic forecasts more efficient (:pull:`240`)
- Create probabilistic reference forecasts using GEFS and automatically generate those values (:pull:`240`)
- Expanded :ref:`contributing` guide. (:issue:`13`)
- Fix handling of observation and forecast metadata in report timeseries and scatter plots. (:issue:`238`)
- Fix overlapping labels on report's total metrics plots and too short metrics table when more than 3 forecasts are selected. (:issue:`163`)
- Fix report limitation of 6 forecasts due to how the color palette was specified. (:issue:`242`)
- Timeseries plot legends can accomodate more items (20) by shrinking the font size and scatter plot legends were moved to the side to prevent them from blocking the data. (:issue:`218`)
- Fix inconsistent forecast ordering and coloring in report bar charts. (:issue:`204`)
- :py:class:`datamodel.Report` and associated classes were missing from :ref:`apiref` documentation. Fixed. (:issue:`228`)
- Fix loading :py:class:`datamodel.Report` and :py:class:`datamodel.BaseFilter` from a dictionary (:pull:`249`, :issue:`137`)
- :py:class:`io.api.APISession` Report methods were missing from :ref:`apiref` documentation (:pull:`249`)
- Will Holmgren (:ghuser:`wholmgren`)
- Leland Boeman (:ghuser:`lboeman`)
- Cliff Hansen (:ghuser:`cwhanse`)
- Tony Lorenzo (:ghuser:`alorenzo175`)
- Justin Sharp (:ghuser:`MrWindAndSolar`)
- Aidan Tuohy
- Adam Wigington (:ghuser:`awig`)
- David Larson (:ghuser:`dplarson`)