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Part of the pipeline requires the model to read in processed data and output predictions by week, which can then be passed to the visualization tool to create a dynamic visual. Right now this will take the form of train_model.py outputting csvs of segment-year-week-prediction, but eventually could be streamlined.
The text was updated successfully, but these errors were encountered:
@bpben see #67 for some thoughts on recording the temporal attribute of predictions. Is now the time to think about moving to a more capable setup (e.g. the weekly epoch) or is it better to leave that until after the demo release is finished?
Part of the pipeline requires the model to read in processed data and output predictions by week, which can then be passed to the visualization tool to create a dynamic visual. Right now this will take the form of train_model.py outputting csvs of segment-year-week-prediction, but eventually could be streamlined.
The text was updated successfully, but these errors were encountered: