Candelieri, Antonio http://orcid.org/0000-0003-1431-576X
Ponti, Andrea http://orcid.org/0000-0003-4187-4209
Archetti, Francesco http://orcid.org/0000-0003-1131-3830
Funding for this research was provided by:
Università degli Studi di Milano - Bicocca
Article History
Received: 20 August 2022
Revised: 12 December 2023
Accepted: 18 January 2024
First Online: 28 February 2024
Declarations
:
: Authors declare no conflicts of interests / competing interests.
: Not applicable.
: Not applicable.
: Not applicable.
: FanG-HPO was developed in R and integrates, through the <tt>reticulate</tt> R package, Python code (i.e., sklearn modules for ML algorithms: MLP, RF, XGB, and SVM). Code is publicly available at the following github repository: .