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This is a single-threaded implementation of the FunSearch algorithm, adapted to run for data science purposes.

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LuisCarvalho2024-fs/funsearch-data

 
 

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FunSearch

This repository is a "manual" fork from the FunSearch repo, adapted to run new funsearch experiments with datasets. All changes were made locally and then sent to this repository at once.

This project is meant to run on jupyter notebooks or colab, though the setup for colab might be different. The requirements are not listed, but it's mostly PANDAS, NUMPY, itertools, sklearn, collections and the openai libraries.

Any LLM can be used, you just have to adjust accordingly on the Evaluator.

License and disclaimer

Copyright 2023 DeepMind Technologies Limited

All software is licensed under the Apache License, Version 2.0 (Apache 2.0); you may not use this file except in compliance with the Apache 2.0 license. You may obtain a copy of the Apache 2.0 license at: https://www.apache.org/licenses/LICENSE-2.0

All other materials are licensed under the Creative Commons Attribution 4.0 International License (CC-BY). You may obtain a copy of the CC-BY license at: https://creativecommons.org/licenses/by/4.0/legalcode

Unless required by applicable law or agreed to in writing, all software and materials distributed here under the Apache 2.0 or CC-BY licenses are distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the licenses for the specific language governing permissions and limitations under those licenses.

This is not an official Google product.

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This is a single-threaded implementation of the FunSearch algorithm, adapted to run for data science purposes.

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  • Jupyter Notebook 52.3%
  • Python 47.7%