API Reference

This is the class and function reference of EmpiricML. Please select a module from the navigation menu or the table below to view its documentation.

Module	Description
empml.base	Core abstract base classes for building other components.
empml.cv	Cross-validation splitting strategies and utilities.
empml.data	Classes for downloading and loading data.
empml.errors	Custom exceptions used throughout the framework.
empml.lab	The main experimentation framework for model development.
empml.metrics	Performance metrics for regression and classification.
empml.pipeline	Pipeline orchestration and evaluation tools.
empml.transformers	Feature engineering transformers compatible with Polars.
empml.wrappers	Wrappers for integrating Scikit-learn and PyTorch models.