amdavison / coastal-forecast Goto Github PK
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License: MIT License
Web-based application to host a trained coastal forecast machine learning model.
License: MIT License
Implement scheduler to call get_predictions method to call every 6-hours.
Estimate of hours of work: 5
Acceptance criteria:
The user will be shown the NOAA station information.
The user will be shown the current interval prediction plots.
The user will be shown a dialog message indicating the time of when the prediction was made and time to next prediction.
Estimate of hours of effort: 4
The user will be shown an error dialog message if the prediction is unavailable.
Acceptance criteria:
The user will be shown new prediction plots for the current NOAA station.
The user will be shown a dialog message indicating the time of request and time to next prediction.
The user will be shown an error dialog message if the prediction is unavailable.
Estimate of hours of effort: 5
Create python file to consolidate training of the model on long term data.
Part of user story #4
Acceptance criteria:
Different models will be trained using hyperparameter tuning to achieve the best possible results.
Estimate of hours of effort: 5
Implement unittests for project.
Estimate of hours of work: 5
Need to be able to scrape data to train a model or run predictions.
Part of user story #3
Part of user story #3
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