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Modeltime unlocks time series forecast models and machine learning in one framework

Results 79 modeltime issues
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I am running into an issue with modeltime_nested_refit. I am not able to run parallel processing. When I run sequentially, I lose the confidence intervals. I couldn't reproduce it in...

The combine_modeltime_tables() only works for unnested modeltime_tables ... please add something similar for nested_modeltime_tbl so working in chunks ... and then combining together to a nested_modeltime_tbl would be great

Evaluate Pytorch forecasting for use in a Modeltime Ecosystem Package. https://pytorch-forecasting.readthedocs.io/en/latest/index.html

# Modeltime Ecosystem Roadmap The __`modeltime` project roadmap__ tracks the overall development of the Modeltime Ecosystem of forecasting packages. Modeltime is a cutting-edge ecosystem for forecasting using strategies and best...

enhancement

Pls could you add a new feature to modeltime, that drops models from the modeltime_table? So the opposite to the already available add_modeltime_table. This would be great, since during ensembling...

I'm trying to change the color of the time-series line in a plot I get using the `plot_modeltime_forecast()` function. In the help of the function I read I can also...

First of all I would like to thank the contributors for developing this package which I use on a daily basis. I am also really enjoying the courses provided by...

Simple Question: Is it better to use forecasts for exogenous regressors of future_frame() or should one simply use means, medians etc., expecting nearly identical performance- in one step ahead/one point...

It might potentially be convenient, particularly when modeling nested time series that have somewhat different scales, to be able to specify the logistic_cap/logistic_floor in a relative manner. i.e. to be...

When running many time series we want to experiment. Using global models and nested models is a natural thing to do when there are not too many time series. It...

help wanted