vimp
Perform inference on algorithm-agnostic variable importance (by bdwilliamson)
aps2020
Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics (by majianthu)
vimp | aps2020 | |
---|---|---|
1 | 2 | |
21 | 17 | |
- | - | |
5.2 | 0.0 | |
5 months ago | almost 2 years ago | |
R | R | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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
aps2020
Posts with mentions or reviews of aps2020.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[R] Feature selection algorithms for psychometric questions when the predicted variable is multi-dimensional?
try Copula Entropy for feature/variable selection. see my paper "Variable Selection with Copula Entropy". The code for the paper is at here, in which the R package 'copent' is used.
- [Q] Feature selection (>600 features)
What are some alternatives?
When comparing vimp and aps2020 you can also consider the following projects:
vip - Variable Importance Plots (VIPs)
evalml - EvalML is an AutoML library written in python.
dcor - Distance correlation and related E-statistics in Python