bayesian
Bindings for Bayesian TidyModels (by hsbadr)
boostime
The Tidymodels Extension for Time Series Boosting Models (by AlbertoAlmuinha)
bayesian | boostime | |
---|---|---|
1 | 1 | |
42 | 55 | |
- | - | |
7.7 | 10.0 | |
8 days ago | over 1 year ago | |
R | R | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
bayesian
Posts with mentions or reviews of bayesian.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-17.
-
How do you train a Bayesian model
There's MLMod and Bayesian which are TidyModels wrappers for stan_glm and brms (brms is my go to) but I haven't seen anything that indicates how to tune them.
boostime
Posts with mentions or reviews of boostime.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-08.
What are some alternatives?
When comparing bayesian and boostime you can also consider the following projects:
multilevelmod - Parsnip wrappers for mixed-level and hierarchical models
modeltime.gluonts - GluonTS Deep Learning with Modeltime
brms - brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
modeltime - Modeltime unlocks time series forecast models and machine learning in one framework
modeltime.ensemble - Time Series Ensemble Forecasting
modeltime.resample - Resampling Tools for Time Series Forecasting with Modeltime
timetk - Time series analysis in the `tidyverse`
modeltime.h2o - Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.