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[PR #1784] [CLOSED] Add Sklearn-genetic-opt #1550

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opened 2025-11-06 13:18:31 -06:00 by GiteaMirror · 0 comments
GiteaMirror commented 2025-11-06 13:18:31 -06:00
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📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/1784
Author: @rodrigo-arenas
Created: 6/27/2021
Status: ❌ Closed

Base: master ← Head: master

📝 Commits (1)

  • 0c1738f Add Sklearn-genetic-opt to machine learning

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

What is this Python project?

This is an AutoML package as an alternative from popular methods inside scikit-learn, such as Grid Search and Randomized Grid Search.

Sklearn-genetic-opt uses evolutionary algorithms to choose the set of hyperparameters that optimizes the cross-validation scores, it can be used for both regression and classification problems with a scikit-learn alike API.

What's the difference between this Python project and similar ones?

  • It uses AI for the optimization process, instead of brute force approach like GridSearch.
  • It adds several features missing in similar packages, worth to mention:
    • Callbacks: Allows to monitor, save the models and stop the training when some of several possible criteria is met, such as the model has run for a long time, a threshold metric was achieved, etc. It even allows the user to create a custom callback.
    • Plotting: It was several build-in plotting functionalities to help the user understand the optimization process and take decisions over the models.
    • Tensorboard: It can log with just a single line of code all the evaluation metrics to a tensorboard instance to monitor the training.
    • MLflow: With one single config class, log all the metrics, models, hyperparameters of each run into a MLflow server.

--

Anyone who agrees with this pull request could submit an Approve review to it.

🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/1784 **Author:** [@rodrigo-arenas](https://github.com/rodrigo-arenas) **Created:** 6/27/2021 **Status:** ❌ Closed **Base:** `master` ← **Head:** `master` --- ### 📝 Commits (1) - [`0c1738f`](https://github.com/vinta/awesome-python/commit/0c1738f41d0492a52df7a3c000a4887d63d23044) Add Sklearn-genetic-opt to machine learning ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description ## What is this Python project? This is an AutoML package as an alternative from popular methods inside scikit-learn, such as Grid Search and Randomized Grid Search. Sklearn-genetic-opt uses evolutionary algorithms to choose the set of hyperparameters that optimizes the cross-validation scores, it can be used for both regression and classification problems with a scikit-learn alike API. ## What's the difference between this Python project and similar ones? * It uses AI for the optimization process, instead of brute force approach like GridSearch. * It adds several features missing in similar packages, worth to mention: - **Callbacks:** Allows to monitor, save the models and stop the training when some of several possible criteria is met, such as the model has run for a long time, a threshold metric was achieved, etc. It even allows the user to create a custom callback. - **Plotting:** It was several build-in plotting functionalities to help the user understand the optimization process and take decisions over the models. - **Tensorboard:** It can log with just a single line of code all the evaluation metrics to a tensorboard instance to monitor the training. - **MLflow:** With one single config class, log all the metrics, models, hyperparameters of each run into a MLflow server. -- Anyone who agrees with this pull request could submit an *Approve* review to it. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
GiteaMirror added the pull-request label 2025-11-06 13:18:31 -06:00
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Reference: github-starred/awesome-python#1550
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