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(Part of review [here](https://github.com/openjournals/joss-reviews/issues/6962).)
This was fun to read *and* I learnt some things :)
Some minor statistical/editorial comments on the paper:
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https://www.sciencedirect.com/science/article/pii/S0169207019301153
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Use exponentially weighted moving average instead of rolling window average for smoothing
- No array (old sample storage) required
- Less computationally complex
- Gives more weight to current va…
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### Latest Code:
[model evaluation](https://github.com/artc-dsc/AI-FusionCast-Analysis/blob/dev/scripts/subprocess_model_evaluation.py)
[model prediction](https://github.com/artc-dsc/AI-FusionCast-…
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It would be nice if the graphs (e.g. speed-time) would have a checkbox (or a global setting) to enable smoothing and use e.g. a moving average, exponential decay, or some other clever way. And for #26…
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For arrays we'll have to take a period argument.
There is some code to deal with pandas freqs -> period already. Used in seasonal_decomp and more in the exponential smoothing PR.
Rarely used now: D…
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Requesting the addition of a `random_state` argument to the `statsmodels` adapter and passing it appropriately to underlying non-deterministic models such as ETS so that the predictions can be made re…
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### Feature Description
This is more of a long term change that would require lots of changes within Mixxx, but I think it would be good to at some point change the way values are smoothed within Mix…
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- [ ] Garch and it's simpler variants like (GJR-Garch, APARCH, AGARCH, EGARCH) [etc](https://vlab.stern.nyu.edu/docs/volatility)
- [ ] [Fractional differencing models](https://discourse.mc-stan.org/t…
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On line 714 of _tqdm.py;
https://github.com/tqdm/tqdm/blob/96d8a3c3642474144f53f74331ef2172d1c39496/tqdm/_tqdm.py#L714
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```
smoothing : float, optional
Exponential m…
ghost updated
4 years ago