lazypredict

Why we included this project

Lazy Predict gives you a quick baseline on a tabular machine-learning problem without the usual setup time. Point it at a dataset and it trains over 40 built-in models for classification and regression, then reports which ones perform best straight out of the box, no parameter tuning required. The package has grown beyond plain scikit-learn territory to cover time-series forecasting as well, with statistical models like ARIMA and Theta sitting alongside boosting and LSTM/GRU networks, plus automatic detection of seasonal periods. That breadth makes it a useful benchmarking tool for teams that want a fast picture of where to focus their effort before investing hours, and the built-in MLflow integration keeps those baseline runs tracked. Treat it as a first look rather than a production training system.