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This is a great package for automated large scale forecasts!
Currently (0.1.0), there are lot of imports. On some systems, it takes a long time and dependency packages will not get installed.
Its …
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```
library(modeltime)
library(timetk)
library(tidyquant)
library(tidyverse)
library(tidymodels)
horizon %
mutate(
rsi = TTR::RSI(outcome) # using e.g. mean() from bas…
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Hi @mdancho84 ,
I have not seen parallel processing implemented. I don't know if you plan to include it in the first version, in any case, if so I think a good way to do it would be the same way as…
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Haewon and I noticed that model future years were defined twice in the old data system -- in A_common_data.R called X_future_years and in A_modeltime_data.R called X_model_future_years. This creates i…
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Thank you very much for your superb and excellent paper (and, of course, for sharing your code base on GitHub)!
I am currently encountering the following when I attempt to reproduce some of this wi…
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Is there any possibility that I can combine output of multiple forecast into one?
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# Modelgam Project Roadmap - MVP
- [X] Create Package Structure
- [ ] Develop MVP Algorithms (#2) - Get basic use-cases from business-science/modeltime#71, Test on several datasets
- [ ] Develop R…
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Hey Steven,
I hope you are well. I wanted to give you advance notice that I will be making a new option to `timetk` and `modeltime` plotting functions to optionally allow users to use `trelliscope…
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# Problem
Code like this fails.
```
model_spec_deepar_tune %
set_engine("gluonts_deepar")
gluonts_grid %
add_recipe(recipe_spec_gluon)
deep_ar_tune
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Here's a minimal example based on Shafi's code. We can convert this into `tidymodels` format once we agree on the process being shown.
``` r
# MVP EXAMPLE ----
# automl_reg() function
# Libra…