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On today's dev call, we discussed the possible role that numpy_groupies could play in xarray (#4540). I noted that many of the use cases for advanced grouping overlap significantly with histogram-type…
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I noticed that the dimensions of the output of the first term in the list of:
`forecast_it, ts_it = make_evaluation_predictions(
dataset=backtest_dataset,
predictor=predictor,
)`
is a…
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## Keyword: out of distribution detection
There is no result
## Keyword: out-of-distribution detection
There is no result
## Keyword: expected calibration error
There is no result
## Keyword: overc…
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I am using Pycharm to execute VARIMA for multivariate data. What I am trying to do is, given a time step, the model predicts the next 10 time steps based on the 30 previous ones. Either way, I believe…
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For some reason hours with precipitation-probability do not have the actual precipitation value...
looks like "rain" values are completely missing.
![image](https://github.com/open-meteo/open-mete…
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### Template Eval Error for most of the powerful and effective models including LightGBM, Xgboost, Prophet, GluonTS, etc.
The Template Eval Error just keeps on varying everytime. Wish there was one…
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Users noticed some strange behavior where lower quantiles would predict constant values while other quantiles would predict time-varying values.
When they manually hacked a work-around, they achie…
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Does the current implementation supports computing the standard error of the ARIMA model? It is said in the documentation that probabilistic models support sampling from the future forecast. For these…
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Given N models, which are fit. In my case below I the models are already fit:
```
ensemble_probabilistic = RegressionEnsembleModel(forecasting_models=forecast_models,
…
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## Motivation
We currently use a formulation that looks directly at past values ("autoregressive" AR).
We could generalize this to..
- handle expected model prediction errors: "moving average"…