MLJAR
AutoML and explainable AI platform for supervised learning with automated reports
MLJAR
AutoML and explainable AI platform for supervised learning with automated reports
MLJAR is an AutoML platform and open-source library (mljar-supervised) that automatically trains, tunes, and selects machine learning models for classification and regression problems, generating detailed Markdown reports with performance metrics, feature importance, and SHAP explanations. Its explainability focus makes it popular with data scientists who need to deliver interpretable model analyses to stakeholders and decision-makers. Data science teams, financial analysts, and business intelligence professionals use MLJAR to quickly build and explain production-ready models without extensive manual experimentation.
Key Features
- ✓AutoML
- ✓SHAP explanations
- ✓Automated reports
- ✓Feature importance
- ✓Open-source library
Quick Info
- Category
- AI Infrastructure
- Pricing
- Freemium
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