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Take with a grain of salt.
I was looking at the way you select the regression models for use in predictive alerts and smart snooze features and think that it is not a good idea to rank the models b…
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we can use the delta between the median prediction and the rmse prediction to do all kinds of interesting things...
for instance, it's one measure of uncertainty.
for uncertainty, we might end …
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Hi, thanks for developing such a great package. I'm using glmmTMB to build a zero-truncated model where the distribution is gamma when the data is not zero (family = ziGamma('log')).
I wonder if t…
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For models with dispersion models, it would be nice if two things were possible:
1. Incorporation of modeled dispersion parameters into prediction intervals in `estimate_prediction()`.
2. Estimat…
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When I tried to call result.get_prediction() after fitting result = smf.mnlogit("dep_var ~ indep_var", data = data).fit() I got an error message that "MultinomialResults object has no attribute 'get_p…
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A vague idea
The variance of the t-distribution is not the `scale` of the distribution, it also depends on df.
If we want to use the normal distribution, then we could use scale equal to the impli…
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I have been working for some time with Temporal Fusion Transformers from pytorch_forecasting and I was facing an annoying tradeoff:
My validation set was too short meaning it was not representativ…
Seam8 updated
2 months ago
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When imputing features this dramatically reduces accuracy, as if all the samples are in a single bin of the linearly spaced intervals, then it contributes nothing to the prediction.
When visualizin…
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Hello,I‘m try to do work which needs the speech2gesture dataset. But it seems that the link provided in dataset.md is invalid now. Could you please provide another link? Thanks!
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Hello,
I couldn't figure out from checking the code and limited documentation if there is support for providing prediction intervals or bands around future predictions. For instance, as in
https…