ches-001/metatune
Search for a model and corresponding hyperparameters that best model your data
This tool helps data scientists and machine learning practitioners quickly find the best predictive model and its settings for their classification or regression problems. You input your labeled dataset, and it automatically explores various scikit-learn algorithms and their hyperparameters. The output is a highly optimized model ready for deployment or further fine-tuning, saving you significant manual effort in model selection and tuning.
Use this if you need to automate the process of selecting the most effective scikit-learn model and its optimal parameters for a given classification or regression dataset.
Not ideal if you already know exactly which model and parameters you want to use, or if your problem requires deep learning models outside of scikit-learn's scope.
Stars
11
Forks
6
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 07, 2026
Commits (30d)
0
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