vimp
Perform inference on algorithm-agnostic variable importance (by bdwilliamson)
vip
Variable Importance Plots (VIPs) (by koalaverse)
| vimp | vip | |
|---|---|---|
| 1 | 1 | |
| 21 | 186 | |
| - | 0.0% | |
| 5.2 | 6.5 | |
| 5 months ago | 6 months ago | |
| R | R | |
| 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.
vimp
Posts with mentions or reviews of vimp.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Is it possible to use cross-validation to estimate the reliability of a specific predictor?
Check out the VIMP package https://github.com/bdwilliamson/vimp and related paper http://proceedings.mlr.press/v119/williamson20a.html
vip
Posts with mentions or reviews of vip.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing vimp and vip you can also consider the following projects:
miceRanger - miceRanger: Fast Imputation with Random Forests in R
ParBayesianOptimization - Parallelizable Bayesian Optimization in R
aps2020 - Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics
tmle3mopttx - 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
lmtp - :package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:
mlr3learners - Recommended learners for mlr3
textfeatures - 👷♂️ A simple package for extracting useful features from character objects 👷♀️