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PyEPO: A PyTorch/JAX-based End-to-End Predict-then-Optimize Tool 2.2.5 documentation

PyEPO: A PyTorch/JAX-based End-to-End Predict-then-Optimize Tool 2.2.5 documentation

Basics

Introduction
Installation

Getting Started

Workflow
Optimization Models
Data and Datasets
Training Methods
Evaluation

Frontends and Backends

PyTorch Frontend
JAX Frontend
Solver Backends

Advanced Topics

Two-stage Baseline
Solution Pool
CaVE
kNN Robust Losses

Notebooks

Notebooks

API Reference

API Reference

Citation

Citation and References
API Reference
- pyepo

pyepo.func.jax.utils¶

Utility functions for the JAX frontend

pyepo.func.perturbed

pyepo.func.jax.surrogate

Copyright © 2021, Bo Tang

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