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mlexperiments  

Machine Learning Experiments
View on CRAN: Click here


Download and install mlexperiments package within the R console
Install from CRAN:
install.packages("mlexperiments")

Install from Github:
library("remotes")
install_github("cran/mlexperiments")

Install by package version:
library("remotes")
install_version("mlexperiments", "0.0.4")



Attach the package and use:
library("mlexperiments")
Maintained by
Lorenz A. Kapsner
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-10
Latest Update: 2023-06-10
Description:
Provides 'R6' objects to perform parallelized hyperparameter optimization and cross-validation. Hyperparameter optimization can be performed with Bayesian optimization (via '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.
How to cite:
Lorenz A. Kapsner (2023). mlexperiments: Machine Learning Experiments. R package version 0.0.4, https://cran.r-project.org/web/packages/mlexperiments. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.0.2 (2023-06-10 15:50), 0.0.3 (2024-03-07 10:30)
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