| Name: | Recurrent Neural Network (Long Short-Term Memory) |
|---|---|
| Abbreviation: | LSTM |
| Owner: | khoa |
| Team name: | FluX |
| Description: | Team name: FluX Team members: Lijing Wang, Aniruddha Adiga, Srini Venkatramanan, Bryan Lewis, Jiangzhuo Chen, Anil Vullikanti, Madhav Marathe Data source(s): ILINet Methods: An LSTM based deep learning predictor which learns patterns from historical time series. It models non-linear relationships between weekly data points and makes forecasts by looking back to the time sequence of data points of previous weeks. The model provides probabilistic forecasting by using MC-Dropout technology and considers uncertainty from models, predictions, and backfill data. Out-of-sample forecasts were generated by using data from Delphi's Epidata API. Missing weeks in early seasons (e.g., EW20-40 for HHS regions before 2014) which were retrospectively filled in 2013EW52, were treated as missing, and filled by forward fill. |
| Contributors: | |
| License: | Other License |
| Notes: | |
| Citation: | None |
| Methods: | None |
| Home: | https://github.com/FluSightNetwork/cdc-flusight-ensemble/tree/master/model-forecasts/real-time-component-models/FluX_LSTM |
| Auxiliary data: | (No URL) |
| Timezero | Data Source | Upload Time | Issued at | Version |
|---|---|---|---|---|
| 2020-05-18 | (No data) | |||
| 2020-05-11 | (No data) | |||
| 2020-05-04 | (No data) | |||
| 2020-04-27 | (No data) | |||
| 2020-04-20 | (No data) | |||
| 2020-04-13 | (No data) | |||
| 2020-04-06 | (No data) | |||
| 2020-03-30 | (No data) | |||
| 2020-03-23 | (No data) | |||
| 2020-03-16 | (No data) | |||
| 2020-03-09 | (No data) | |||
| 2020-03-02 | EW10-2020-FluX_LSTM.csv | 2020-03-25 01:58:45 UTC | 2020-03-25 12:00:00 UTC | |
| 2020-02-24 | EW09-2020-FluX_LSTM.csv | 2020-03-24 17:45:54 UTC | 2020-03-24 12:00:00 UTC | |
| 2020-02-17 | EW08-2020-FluX_LSTM.csv | 2020-03-24 17:45:52 UTC | 2020-03-24 12:00:00 UTC | |
| 2020-02-10 | EW07-2020-FluX_LSTM.csv | 2020-03-24 17:45:51 UTC | 2020-03-24 12:00:00 UTC | |
| 2020-02-03 | EW06-2020-FluX_LSTM.csv | 2020-03-24 17:45:49 UTC | 2020-03-24 12:00:00 UTC | |
| 2020-01-27 | EW05-2020-FluX_LSTM.csv | 2020-03-24 17:45:47 UTC | 2020-03-24 12:00:00 UTC | |
| 2020-01-20 | EW04-2020-FluX_LSTM.csv | 2020-03-24 17:45:45 UTC | 2020-03-24 12:00:00 UTC | |
| 2020-01-13 | EW03-2020-FluX_LSTM.csv | 2020-03-24 17:45:43 UTC | 2020-03-24 12:00:00 UTC | |
| 2020-01-06 | EW02-2020-FluX_LSTM.csv | 2020-03-24 17:45:42 UTC | 2020-03-24 12:00:00 UTC | |
| 2019-12-30 | EW01-2020-FluX_LSTM.csv | 2020-03-24 17:45:40 UTC | 2020-03-24 12:00:00 UTC | |
| 2019-12-23 | EW52-2019-FluX_LSTM.csv | 2020-03-24 17:45:38 UTC | 2020-03-24 12:00:00 UTC | |
| 2019-12-16 | EW51-2019-FluX_LSTM.csv | 2020-03-24 17:45:37 UTC | 2020-03-24 12:00:00 UTC | |
| 2019-12-09 | EW50-2019-FluX_LSTM.csv | 2020-03-24 17:45:35 UTC | 2020-03-24 12:00:00 UTC | |
| 2019-12-02 | EW49-2019-FluX_LSTM.csv | 2020-03-24 17:45:34 UTC | 2020-03-24 12:00:00 UTC | |
| 2019-11-25 | EW48-2019-FluX_LSTM.csv | 2020-03-24 17:45:33 UTC | 2020-03-24 12:00:00 UTC | |
| 2019-11-18 | EW47-2019-FluX_LSTM.csv | 2020-03-24 17:45:31 UTC | 2020-03-24 12:00:00 UTC | |
| 2019-11-11 | EW46-2019-FluX_LSTM.csv | 2020-03-24 17:45:30 UTC | 2020-03-24 12:00:00 UTC | |
| 2019-11-04 | EW45-2019-FluX_LSTM.csv | 2020-03-24 17:45:29 UTC | 2020-03-24 12:00:00 UTC | |
| 2019-10-28 | EW44-2019-FluX_LSTM.csv | 2020-03-24 17:45:27 UTC | 2020-03-24 12:00:00 UTC | |
| 2019-10-21 | EW43-2019-FluX_LSTM.csv | 2020-03-24 17:45:26 UTC | 2020-03-24 12:00:00 UTC | |
| 2019-10-14 | (No data) | |||
| 2019-10-07 | (No data) | |||
| 2019-09-30 | (No data) | |||
| 2019-05-20 | (No data) | |||
| 2019-05-13 | (No data) | |||
| 2019-05-06 | (No data) | |||
| 2019-04-29 | (No data) | |||
| 2019-04-22 | (No data) | |||
| 2019-04-15 | (No data) | |||
| 2019-04-08 | (No data) | |||
| 2019-04-01 | (No data) | |||
| 2019-03-25 | (No data) | |||
| 2019-03-18 | (No data) | |||
| 2019-03-11 | (No data) | |||
| 2019-03-04 | (No data) | |||
| 2019-02-25 | (No data) | |||
| 2019-02-18 | (No data) | |||
| 2019-02-11 | (No data) | |||
| 2019-02-04 | (No data) | |||
| 2019-01-28 | (No data) | |||
| 2019-01-21 | (No data) | |||
| 2019-01-14 | (No data) | |||
| 2019-01-07 | (No data) | |||
| 2018-12-31 | (No data) | |||
| 2018-12-24 | (No data) | |||
| 2018-12-17 | (No data) | |||
| 2018-12-10 | (No data) | |||
| 2018-12-03 | (No data) | |||
| 2018-11-26 | (No data) | |||
| 2018-11-19 | (No data) | |||
| 2018-11-12 | (No data) | |||
| 2018-11-05 | (No data) | |||
| 2018-10-29 | (No data) | |||
| 2018-10-22 | (No data) | |||
| 2018-10-15 | (No data) | |||
| 2018-10-08 | (No data) | |||
| 2018-10-01 | (No data) | |||
| 2018-04-30 | (No data) | |||
| 2018-04-23 | (No data) | |||
| 2018-04-16 | (No data) | |||
| 2018-04-09 | (No data) | |||
| 2018-04-02 | (No data) | |||
| 2018-03-26 | (No data) | |||
| 2018-03-19 | (No data) | |||
| 2018-03-12 | (No data) | |||
| 2018-03-05 | (No data) | |||
| 2018-02-26 | (No data) | |||
| 2018-02-19 | (No data) | |||
| 2018-02-12 | (No data) | |||
| 2018-02-05 | (No data) | |||
| 2018-01-29 | (No data) | |||
| 2018-01-22 | (No data) | |||
| 2018-01-15 | (No data) | |||
| 2018-01-08 | (No data) | |||
| 2018-01-01 | (No data) | |||
| 2017-12-25 | (No data) | |||
| 2017-12-18 | (No data) | |||
| 2017-12-11 | (No data) | |||
| 2017-12-04 | (No data) | |||
| 2017-11-27 | (No data) | |||
| 2017-11-20 | (No data) | |||
| 2017-11-13 | (No data) | |||
| 2017-11-06 | (No data) | |||
| 2017-10-30 | (No data) | |||
| 2017-10-23 | (No data) |