Showing 4 of total 4 results (show query)
tidymodels
parsnip:A Common API to Modeling and Analysis Functions
A common interface is provided to allow users to specify a model without having to remember the different argument names across different functions or computational engines (e.g. 'R', 'Spark', 'Stan', 'H2O', etc).
Maintained by Max Kuhn. Last updated 21 days ago.
612 stars 16.37 score 3.4k scripts 69 dependents
rcurtin
mlpack:'Rcpp' Integration for the 'mlpack' Library
A fast, flexible machine learning library, written in C++, that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. See also Curtin et al. (2023) <doi:10.21105/joss.05026>.
Maintained by Ryan Curtin. Last updated 4 months ago.
3.71 score 20 scripts 8 dependents
andriyprotsak5
UAHDataScienceSC:Learn Supervised Classification Methods Through Examples and Code
Supervised classification methods, which (if asked) can provide step-by-step explanations of the algorithms used, as described in PK Josephine et. al., (2021) <doi:10.59176/kjcs.v1i1.1259>; and datasets to test them on, which highlight the strengths and weaknesses of each technique.
Maintained by Andriy Protsak Protsak. Last updated 2 months ago.
3.00 score
comiseng
LearnSL:Learn Supervised Classification Methods Through Examples and Code
Supervised classification methods, which (if asked) can provide step-by-step explanations of the algorithms used, as described in PK Josephine et. al., (2021) <doi:10.59176/kjcs.v1i1.1259>; and datasets to test them on, which highlight the strengths and weaknesses of each technique.
Maintained by Víctor Amador Padilla. Last updated 2 years ago.
2.70 score 1 scripts