ParBayesianOptimization
textfeatures
Our great sponsors
| ParBayesianOptimization | textfeatures | |
|---|---|---|
| 1 | 1 | |
| 99 | 167 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | over 3 years ago | |
| R | R | |
| - | GNU General Public License v3.0 or later |
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
-
[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.
textfeatures
-
Using dictionaries to check text in R, language processing
TextFeatures can be used to create a summary table of occurrences of text features like number of unique words, etc. Don't know if it does nouns or verbs.
What are some alternatives?
tmle3mopttx - 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention
tweetbotornot - 🤖 R package for detecting Twitter bots via machine learning
vip - Variable Importance Plots (VIPs)
mlr3learners - Recommended learners for mlr3
r-naive-bayes-showcase - Naive Bayes classifier in R
ggplot2 - An implementation of the Grammar of Graphics in R
causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
spacyr - R wrapper to spaCy NLP
vswift - Tools created for machine learning model evaluation
awesome-computational-social-science - A list of awesome resources for Computational Social Science