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"confidence interval" as used in {modeltime} refers to "prediction interval" in the sense that Hyndman means in [The difference between prediction intervals and confidence intervals](https://robjhyndm…
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Develop `gen_additive_mod()` algorithm with modes "regression" and "classification"
- Use `parsnip::linear_reg()` as an example.
- Linear Reg: https://github.com/tidymodels/parsnip/blob/maste…
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Hi,
it's a shame, that github doesn't offer a feature request button, so I need to ask here.
Is there any planning on adding further parallel abilities to the framework? I am asking, because mo…
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Hi Matt,
First of all, thanks for all you are doing around modeltime. It's clearly a big step forward for TimeSeries modeling.
Perhaps it is already covered but I am not able to see if in modelt…
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I wrote a draft vignette on what I think would be a reasonable API for tft and would like to get some feedback on it.
Ideally I'd love to have the same API as modeltime, but I am not sure how to fit …
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Matt love the package. But is there a way to extract the the h2o model class from the model_fitted? So the h2o package functions can use the object?
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Sometimes it is handy to compute both the 80% and 95% prediction time intervals.
We could add the capability of generating several prediction intervals at once. This functionality is already present …
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When using the workflowsets workflow, I think it would be helpful to auto add the recipe spec name to the model name like occurrs in `sknifedatar`
Not sure how much work this would be.
https://r…
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There are really two interrelated points here worth considering adding to the modeltime ecosystem that I think will be potentially valuable contributions to an already excellent package. Importantly, …
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Installing the package in Python is no problem. Finally Jax started working in Windows. The author's persistence deserves respect.
Installing a package in R is a tragedy. Each library call creates a …