Package: unifiedml 0.3.0

T. Moudiki

unifiedml: Unified Interface for Machine Learning Models

Provides a unified R6-based interface for various machine learning models with automatic interface detection, consistent cross-validation, model interpretations via numerical derivatives, and visualization. Supports both regression and classification tasks with any model function that follows R's standard modeling conventions (formula or matrix interface).

Authors:T. Moudiki [aut, cre]

unifiedml_0.3.0.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
unifiedml/json (API)

# Install 'unifiedml' in R:

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

Bug tracker:https://github.com/techtonique/unifiedml/issues

On CRAN:

6.03 score 4 stars 12 scripts 221 downloads 7 exports 6 dependencies

Last updated from:eb5faa3666. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	141
source / vignettes	OK	194
linux-release-x86_64	OK	145
macos-release-arm64	OK	88
macos-oldrel-arm64	OK	82
windows-devel	OK	88
windows-release	OK	81
windows-oldrel	OK	102
wasm-release	OK	119

Exports:benchmark cross_val_score extract_probabilities formula_to_matrix matrix_to_formula Model train_test_split

Dependencies:codetools doParallel foreach iterators R6 Rcpp

Use unifiedml for benchmarking models

Classification | Regression

Rendered fromunifiedml-benchmark.Rmdusingknitr::rmarkdown

Last update: 2026-05-04
Started: 2026-04-21

Introduction to R package unifiedml

Rendered fromunifiedml.Rmdusingknitr::rmarkdown

Last update: 2026-05-04
Started: 2026-05-04

Predict proba

2 - iris data

Rendered fromunifiedml-predict-proba.Rmdusingknitr::rmarkdown

Last update: 2026-04-29
Started: 2026-04-21

Use unifiedml with caret without tuning

Random Forest | Logistic Regression with glmnet

Rendered fromunifiedml-caret.Rmdusingknitr::rmarkdown

Last update: 2026-04-29
Started: 2026-04-21

Matrix or Formula interface

Rendered fromformula_vs_matrix.Rmdusingknitr::rmarkdown

Last update: 2026-04-03
Started: 2026-04-03

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Unified Interface for Machine Learning Models	unifiedml-package unifiedml
Benchmark Multiple Models with Cross-Validation and Model-Specific Parameters	benchmark
Cross-Validation for Model Objects	cross_val_score
Extract probability predictions from any R model in a standardised format	extract_probabilities
Convert a formula-based model to a matrix interface	formula_to_matrix
Convert a matrix-based model to a formula interface	matrix_to_formula
Unified Machine Learning Interface using R6	Model
Split data into training and test sets	train_test_split