TOOLORA / Local reading edition
MLJAR AutoML
Train tabular models, compare algorithms and ensembles, and generate Markdown reports with metrics, importance and SHAP.
Overview
MLJAR AutoML’s mljar-supervised package preprocesses tables, trains, tunes and ensembles models. Modes emphasize explanations or predictive performance, producing Markdown documentation, metrics and interpretability plots. Inspect pipeline construction rather than only receiving predictions. MLJAR Studio offers a separate interface to the engine.
- Company country / region
- Poland · Company headquarters
Official sources and references
- Official websitehttps://mljar.com/automl/
- Documentationhttps://supervised.mljar.com/
Descriptions summarize public information; consult official websites for features, pricing and regional availability.