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Hi,
I'm using deepar for my dataset. But the results I got are rather frustrating. I'm confused why the width of the prediction intervals are so narrow, and it can not cover the observed values well.…
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**Is your feature request related to a problem? Please describe.**
In the Feb 2 meeting it was discussed that some behaviours in evaluation might actually be "business of the model" rather than of th…
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The idea is to make sure PVnet is accessible and usable for Open source user and contributors.
Current problems are lots of the NWP data is private.
Other context, we are moving over from ocf-…
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The problem:
```
research$main_cause_cat %>% unique()
[1] NA …
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Author Name: **James** (James)
Original Redmine Issue: 111822, https://vlab.noaa.gov/redmine/issues/111822
Original Date: 2023-01-23
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Given an evaluation that requires a lagged persistence…
epag updated
3 months ago
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## Description
```calculate_seasonal_error``` is buggy when the inputs are multivariate data.
```past_data = extract_past_data(time_series, forecast)``` results in ```(dim, time)``` shaped array rat…
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See WRES User Support ticket #132398. In general, if the WRES is able to confirm different datums for the sides of the evaluation, the WRES should except out. More specifically, if the USGS NWIS stage…
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# Time series Forecasting in Python & R, Part 2 (Forecasting ) | Sandeep Pawar
In the second part of this blog series on forecasting I discuss forecasting steps, evaluation of forecasting methods, mo…
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## Goal
Explore how this might work for the aspatial model, might improve identifiability
## Context
Suggestion from @athowes to improve identifiability, in particular might be helpful when there…
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Whan I try to introduce known data from the future in the forecast I get higher values, I guess I miss something, Please advise.
future_data = pd.read_csv(
"~/Downloads/ebstestmures-futures-20…