Provides 'R6' objects to perform parallelized hyperparameter optimization and cross-validation. Hyperparameter optimization can be performed with Bayesian optimization (via 'ParBayesianOptimization' <https://cran.r-project.org/package=ParBayesianOptimization>) and grid search. The optimized hyperparameters can be validated using k-fold cross-validation. Alternatively, hyperparameter optimization and validation can be performed with nested cross-validation. While 'mlexperiments' focuses on core wrappers for machine learning experiments, additional learner algorithms can be supplemented by inheriting from the provided learner base class.
Package details |
|
---|---|
Author | Lorenz A. Kapsner [cre, aut, cph] (<https://orcid.org/0000-0003-1866-860X>) |
Maintainer | Lorenz A. Kapsner <lorenz.kapsner@gmail.com> |
License | GPL (>= 3) |
Version | 0.0.5 |
URL | https://github.com/kapsner/mlexperiments |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.