RGP
The 'rgp' package is a specialized machine learning software designed for genetic programming. Although it has been archived since January 2, 2018, users can still access... The 'rgp' package is a specialized machine learning software designed for genetic programming. Although it has been archived since January 2, 2018, users can still access previous versions from the CRAN repository. It offers unique capabilities for evolving algorithms, making it a valuable resource for researchers and developers in the field.
Top RGP Alternatives
FRBS
FRBS is a robust implementation of various learning algorithms tailored for classification and regression tasks using fuzzy rule-based systems. It...
CORElearn
CORElearn offers a robust suite of C++ machine learning algorithms integrated with R, facilitating various classification and regression techniques. It...
bst: Gradient Boosting
The bst package implements a functional gradient descent algorithm tailored for various convex and non-convex loss functions, addressing both classical...
svmpath
svmpath efficiently computes the complete regularization path for two-class SVM classifiers, maintaining computational efficiency comparable to a single SVM fit....
RPMM
RPMM is a sophisticated machine learning software utilizing a Recursively Partitioned Mixture Model to analyze Beta and Gaussian mixtures. It...
tgp
tgp is an advanced tool for Bayesian nonstationary, semiparametric nonlinear regression using treed Gaussian processes with jump capabilities. It encompasses...
rgenoud
rgenoud is an advanced machine learning software that integrates a genetic algorithm with a derivative optimizer, enabling efficient global optimization....
oblique.tree
The oblique.tree package is a machine learning software designed for advanced decision tree modeling. It enables users to construct trees...
partykit
Partykit offers a robust toolkit for representing, summarizing, and visualizing tree-structured regression and classification models. It facilitates seamless integration with...
FPS
The FPS package offers a robust suite of clustering methods and validation techniques, including fixed point clustering and DBSCAN. It...
mboost
mboost implements a functional gradient descent algorithm for optimizing general risk functions through component-wise (penalised) least squares or regression trees....
SAS Factory Miner
SAS Factory Miner is an advanced machine learning software designed for seamless integration throughout the analytics life cycle. It enables...
maptree
Maptree is a sophisticated machine learning software that facilitates graphing, pruning, and mapping models derived from hierarchical clustering, as well...
PyTorch
PyTorch enables users to efficiently run machine learning applications locally or through various cloud platforms. It offers a rich ecosystem...
Cubist
Cubist is a machine learning software that specializes in regression modeling through rule-based approaches enhanced by instance-based corrections. It effectively...
Company Information
- Company: R Project
- Country: Austria
