Package: evclass 2.0.2

Thierry Denoeux

evclass: Evidential Distance-Based Classification

Different evidential classifiers, which provide outputs in the form of Dempster-Shafer mass functions. The methods are: the evidential K-nearest neighbor rule, the evidential neural network, radial basis function neural networks, logistic regression, feed-forward neural networks.

Authors:Thierry Denoeux

evclass_2.0.2.tar.gz
evclass_2.0.2.tar.gz(r-4.5-noble)evclass_2.0.2.tar.gz(r-4.4-noble)
evclass_2.0.2.tgz(r-4.4-emscripten)evclass_2.0.2.tgz(r-4.3-emscripten)
evclass.pdf |evclass.html✨
evclass/json (API)
NEWS

# Install 'evclass' in R:

install.packages('evclass', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

glass - Glass dataset
ionosphere - Ionosphere dataset
vehicles - Vehicles dataset

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.23 score 1 stars 17 scripts 302 downloads 1 mentions 12 exports 5 dependencies

Last updated 1 years agofrom:636c59c083. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 03 2024
R-4.5-linux	OK	Nov 03 2024

Exports:calcAB calcm decision EkNNfit EkNNinit EkNNval proDSfit proDSinit proDSval RBFfit RBFinit RBFval

Dependencies:FNN ibelief R.methodsS3 R.oo R.utils

Introduction to the evclass package

Thierry Denoeux

Rendered fromIntroduction.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2023-01-07
Started: 2016-06-21

Citation

Readme and manuals

Help Manual

Help page	Topics
Determination of optimal coefficients for computing weights of evidence in logistic regression	calcAB
Determination of optimal coefficients for computing weights of evidence in logistic regression	calcm
Decision rules for evidential classifiers	decision
Training of the EkNN classifier	EkNNfit
Initialization of parameters for the EkNN classifier	EkNNinit
Classification of a test set by the EkNN classifier	EkNNval
evclass: A package for evidential classification	evclass
Glass dataset	glass
Ionosphere dataset	ionosphere
Training of the evidential neural network classifier	proDSfit
Initialization of parameters for the evidential neural network classifier	proDSinit
Classification of a test set by the evidential neural network classifier	proDSval
Training of a radial basis function classifier	RBFfit
Initialization of parameters for a Radial Basis Function classifier	RBFinit
Classification of a test set by a radial basis function classifier	RBFval
Vehicles dataset	vehicles