Summary:
See the recent Medium article for an overview.
Research Papers/Experiments
Transfer learning for time series classification
Reconstruction and Regression Loss for Time-Series Transfer Learning
How flow forecast helps:
Transfer learning with flow-forecasts (and other frameworks even more) is currently
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Deleting layers when loading weights
Selective freezing of layers via the configuration file
Variable learning rates for different flow forecast layers
Protocol
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1. Run initial hyperparameter sweep to get best values for forecast_history, forecast_length, and all other static hyperparameters. 2. Set hyperparameters for transfer learning runs based on this sweep. 3. Pre-train model on large number of counties based on these parameters. Save these weights. 4. Rerun hyperparameter sweep on target county with these saved weights. |
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