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zinchse authored Dec 4, 2024
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<img src="https://github.com/user-attachments/assets/d798e5f9-5b10-43f3-b00c-8e29be47c39d" alt="Иллюстрация" width="300">
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[![codecov](https://codecov.io/gh/zinchse/hero/graph/badge.svg?token=R4WRFFQUZL)](https://codecov.io/gh/zinchse/hero)
[![codecov](https://codecov.io/gh/zinchse/hero/graph/badge.svg?token=R4WRFFQUZL)](https://codecov.io/gh/zinchse/hero) [![arXiv](https://img.shields.io/badge/arXiv-2412.02372-B31B1B.svg)](https://arxiv.org/abs/2412.02372)
# HERO: New learned Hint-based Efficient and Reliable query Optimizer.

**Key features:** extended search space, virtually optimal performance, fast inference time (`x5-x40` faster than existing solutions), quick and flexible learning stage and transparent and interpretable predictive model instead of black-box NN.

# 🔬 Method

Here will be details about hbo_bench, btcnn, graph storage, query explorer, predictor's logic and artifacts from experiments ...
Here will be details about `hbo_bench`, `btcnn`, graph storage, query explorer, predictor's logic and artifacts from experiments ...

# 📦 Setup

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