ParBayesianOptimization - Parallel Bayesian Optimization of Hyperparameters
Fast, flexible framework for implementing Bayesian optimization of model hyperparameters according to the methods described in Snoek et al. <arXiv:1206.2944>. The package allows the user to run scoring function in parallel, save intermediary results, and tweak other aspects of the process to fully utilize the computing resources available to the user.
Last updated 2 years ago
bayesian-inferencemachine-learning
7.19 score 108 stars 86 scripts 1.1k downloadsmiceRanger - Multiple Imputation by Chained Equations with Random Forests
Multiple Imputation has been shown to be a flexible method to impute missing values by Van Buuren (2007) <doi:10.1177/0962280206074463>. Expanding on this, random forests have been shown to be an accurate model by Stekhoven and Buhlmann <arXiv:1105.0828> to impute missing values in datasets. They have the added benefits of returning out of bag error and variable importance estimates, as well as being simple to run in parallel.
Last updated 3 years ago
imputation-methodsmachine-learningmicemissing-datamissing-valuesrandom-forests
7.09 score 67 stars 1 dependents 41 scripts 490 downloads