modeltime
Deep_XF
modeltime | Deep_XF | |
---|---|---|
5 | 3 | |
499 | 110 | |
0.6% | - | |
8.4 | 10.0 | |
4 months ago | over 1 year ago | |
R | Jupyter Notebook | |
GNU General Public License v3.0 or later | - |
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modeltime
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Cross Validating Time Series Models in R
Check out the ModelTime package: https://business-science.github.io/modeltime/
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Good package or tidy way of sliding time series forecasting windows for backtesting?
I was looking for something similar a bit ago and settled on timetk and modeltime. It's been a while since I worked with these and I never got deep enough in my own project to fully explore them, so unfortunately all I can offer are the links; however this should get you what you're looking for
- Has anyone taken Matt Dancho's courses?
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Time Series in R
It’s actually completely different than what existed. You can see my roadmap here and how much has went into the Modeltime project. https://github.com/business-science/modeltime/issues/5
Deep_XF
What are some alternatives?
fable - Tidy time series forecasting
Autoformer - About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
modeltime.gluonts - GluonTS Deep Learning with Modeltime
wb_gdp_predict - Predicting next year's GDP using ML (Python)
boostime - The Tidymodels Extension for Time Series Boosting Models
Auto_TS - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.
healthyR.ts - A time-series companion package to healthyR
lockdowndates - Retrieve the dates of the restrictions imposed by governments in countries around the world during the covid-19 pandemic.
modeltime.resample - Resampling Tools for Time Series Forecasting with Modeltime
BrewPOTS - The tutorials for PyPOTS.
tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai