EnsembleSVM | A Library for Ensemble Learning Using Support Vector | Machine Learning library

EnsembleSVM is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. EnsembleSVM has no bugs, it has no vulnerabilities and it has low support. However EnsembleSVM has a Non-SPDX License. You can download it from GitHub.

EnsembleSVM is a library providing an API to implement ensemble learning use Support Vector Machine (SVM) base models. The package contains some executable tools which behave similar to standard SVM learning algorithms. The package is self-contained in the sense that it contains most necessary tools to build a pipeline for binary classification. Most notable features include bootstrap sampling, cross-validation and ensemble training/prediction. The EnsembleSVM webpage contains all sorts of useful information at: EnsembleSVM uses a divide-and-conquer strategy to handle large data sets by training base models on (small) subsamples and aggregating these base models into a strong ensemble.