Welcome to Lazy Predict
Lazy Predict helps build a lot of basic models without much code and helps understand which models work better without any parameter tuning.
Quick Links
Contents
Getting Started
User Guide
Features
Over 40 built-in machine learning models
Automatic model selection for classification and regression
Support for both numerical and categorical features
Easy integration with scikit-learn pipelines
Model performance comparison and ranking
Built-in MLflow integration for experiment tracking
Support for Python 3.8 through 3.13
Minimal code required
Automatic model metrics logging
Custom metric evaluation support
Easy model access and reuse
Key Benefits
Rapid model prototyping and selection
Automated experiment tracking with MLflow
Comprehensive model performance comparison
Zero-configuration model evaluation
Support for local and remote tracking
Integration with Databricks environment
Parallel model training capability
Extensible with custom metrics