galatolofederico/easyopt
zero-code hyperparameters optimization framework
This project helps machine learning engineers and data scientists fine-tune their models or algorithms. You provide the code for your model, define the range for your model's settings (hyperparameters) in a configuration file, and the tool automatically tests many combinations to find the best-performing ones. The output is a set of optimal hyperparameters that maximize or minimize your model's objective function.
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Use this if you need to systematically find the best hyperparameters for your machine learning models or algorithms without writing complex optimization code.
Not ideal if you're not working with a system that uses command-line arguments for its adjustable parameters, or if your primary need is not hyperparameter optimization.
Stars
14
Forks
2
Language
Python
License
GPL-3.0
Category
Last pushed
Jan 25, 2024
Commits (30d)
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