AI SummaryFLAML (Fast Library for Automated Machine Learning & Tuning) is a lightweight Python library for efficient automation of machine learning and AI operations. It automates workflow based on large language models, machine learning models, etc. and optimizes their performance. The repository uses pre-co
Install
Copy this and paste it into Claude Code, Cursor, or any AI assistant:
I want to add the "FLAML — Copilot Instructions" prompt rules to my project. Repository: https://github.com/microsoft/FLAML Please read the repo to find the rules/prompt file, then: 1. Download it to the correct location (.cursorrules, .windsurfrules, .github/prompts/, or project root — based on the file type) 2. If there's an existing rules file, merge the new rules in rather than overwriting 3. Confirm what was added
Description
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Project Overview
FLAML (Fast Library for Automated Machine Learning & Tuning) is a lightweight Python library for efficient automation of machine learning and AI operations. It automates workflow based on large language models, machine learning models, etc. and optimizes their performance. Key Components: • flaml/automl/: AutoML functionality for classification and regression • flaml/tune/: Generic hyperparameter tuning • flaml/default/: Zero-shot AutoML with default configurations • flaml/autogen/: Legacy autogen code (note: AutoGen has moved to a separate repository) • flaml/fabric/: Microsoft Fabric integration • test/: Comprehensive test suite
Test Requirements
• Write tests for new functionality • Ensure tests pass on multiple Python versions (3.10, 3.11, 3.12 and 3.13) • Tests should work on both Ubuntu and Windows • Use pytest markers for platform-specific tests (e.g., @pytest.mark.spark) • Tests should be idempotent and not depend on external state • Use --reruns 2 --reruns-delay 10 for flaky tests
Install with test dependencies
pip install -e .[test]
Install with automl dependencies
pip install -e .[automl]
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Works With
Any AI assistant that accepts custom rules or system prompts