ParBayesianOptimization
Parallelizable Bayesian Optimization in R (by AnotherSamWilson)
mlr3
mlr3: Machine Learning in R - next generation (by mlr-org)
ParBayesianOptimization | mlr3 | |
---|---|---|
1 | 1 | |
99 | 880 | |
- | 0.8% | |
0.0 | 7.9 | |
over 1 year ago | 6 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.
ParBayesianOptimization
Posts with mentions or reviews of ParBayesianOptimization.
We have used some of these posts to build our list of alternatives
and similar projects.
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[D] Selecting Hyperparameters Using Bayesian Optimization
Disclaimer: I am the maintainer of ParBayesianOptimization. That readme has a pretty good walkthrough of how Bayesian optimization works.
mlr3
Posts with mentions or reviews of mlr3.
We have used some of these posts to build our list of alternatives
and similar projects.
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Trying to create a KNN model, takes too long!!
mlr3 would be a competing modern framework to tidymodels that is also used. I know little about it except that it exists.
What are some alternatives?
When comparing ParBayesianOptimization and mlr3 you can also consider the following projects:
tmle3mopttx - 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
mlr3learners - Recommended learners for mlr3
vip - Variable Importance Plots (VIPs)
causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
miceRanger - miceRanger: Fast Imputation with Random Forests in R
ggplot2 - An implementation of the Grammar of Graphics in R
texreg - Conversion of R Regression Output to LaTeX or HTML Tables
vswift - Tools created for machine learning model evaluation
r-naive-bayes-showcase - Naive Bayes classifier in R
tweetbotornot2 - 🔍🐦🤖 Detect Twitter Bots!
ParBayesianOptimization vs tmle3mopttx
mlr3 vs mlr3learners
ParBayesianOptimization vs vip
mlr3 vs causalglm
ParBayesianOptimization vs mlr3learners
mlr3 vs miceRanger
ParBayesianOptimization vs ggplot2
mlr3 vs texreg
ParBayesianOptimization vs causalglm
mlr3 vs vswift
mlr3 vs r-naive-bayes-showcase
mlr3 vs tweetbotornot2