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This package focusses on providing case forecasts via first forecasting Rt values. An outstanding question is the value this adds over a simple case only forecast. It would be interesting to add tooli…
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Hello
I am using DeepAR for my dataset and I am obtaining results with DeepAR which have very "wide coverage".I want to reduce the width of prediction intervals which I am not able to understand tha…
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### Description
Update both the operational GFSv16 and developmental GFSv17 systems to use the new `RTOFSv2.4.3`. "The scheduled handoff to NCO is March 11. Implementation for early June."
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I would love to see the implementation of walk-forward testing.
A rolling-forecast scenario also called walk-forward model validation is the recommended method (gold standard) for constructing mach…
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@henrykironde and @ethanwhite I welcome your feedback on an infrastructure thing that we haven't really talked about yet, which is where/how to locate the model evaluation code within the pipeline.
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## Description
When using `gluonts.evaluation.backtest.make_evaluation_predictions` with a predictor obtained from `NBEATSEstimator`, forecasts of type `SampleForecast` are returned (with as many s…
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Dear Authors,
Thank you for your invaluable contributions to this repository. I am currently exploring the field of time series imputation and have encountered some aspects regarding the evaluation…
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For my package: https://github.com/rocketlaunchr/dataframe-go, the godoc page for Variables of func is ridiculous.
It is so ridiculous, I can't explain it in words here.
See: https://godoc.org/g…
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# Challenge 20 - Bridge the Gap: Bridging Gaps in Streamflow Observations with ML-driven Solutions
> **Stream 2 - Machine Learning for Earth Sciences applications**
### Goal
Develop machine lea…
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Author Name: **James** (James)
Original Redmine Issue: 95165, https://vlab.noaa.gov/redmine/issues/95165
Original Date: 2021-08-13
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Given a presumed need for a revamped gridded evaluation …