Comments (1)
...or maybe better from adaptively-weighted-ensembles??
from 2017-2018-cdc-flu-contest.
Related Issues (19)
- copy over KDE code from 2016-2017... HOT 1
- copy over KCDE code from 2016-2017... HOT 1
- Immediately replace region "X" with region "National"
- For SARIMA, linearly interpolate all missing values before fitting LOSO models in training phase HOT 1
- update KCDE estimation to use CAKCDE HOT 1
- prospective predictions from all component and ensemble models for last 7 seasons by July 15
- ensemble of ensembles by mid-august?
- update fits after each year HOT 1
- pull "Real-time" data from DELPHI API HOT 5
- update data for 2016-2017 season
- revise KDE fits and training set predictions to be prospective HOT 4
- revise KCDE fits and training set predictions to be prospective
- revise SARIMA fits and training set predictions to be prospective
- Check for and fix dependencies on assuming regions have "X"
- get_onset_baseline() not working for KDE HOT 2
- KDE Probability of no onset being calculated across all regions HOT 3
- consider implementing a trunc-KDE method. HOT 1
- double check calculation of onset and peak weeks with rounding HOT 1
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from 2017-2018-cdc-flu-contest.