vip
Variable Importance Plots (VIPs) (by koalaverse)
mlr3learners
Recommended learners for mlr3 (by mlr-org)
Our great sponsors
vip | mlr3learners | |
---|---|---|
1 | 1 | |
186 | 87 | |
1.1% | - | |
6.5 | 7.4 | |
6 months ago | 20 days ago | |
R | R | |
- | GNU Lesser 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.
vip
Posts with mentions or reviews of vip.
We have used some of these posts to build our list of alternatives
and similar projects.
mlr3learners
Posts with mentions or reviews of mlr3learners.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing vip and mlr3learners you can also consider the following projects:
miceRanger - miceRanger: Fast Imputation with Random Forests in R
causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
ParBayesianOptimization - Parallelizable Bayesian Optimization in R
RubixML - A high-level machine learning and deep learning library for the PHP language.
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