Easy Access To ML Hyperparams for Optimization 🚀
Supports Sklearn, LightGBM, XGBoost, and CatBoost
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This is a simple tool made by a data scientist for data scientists that train machine learning models.
It just helps you access the hyperparameters of the model you want to use in a
fast and efficient way.
It's not a replacement for the documentation. It's just a way to quickly get the hyperparameters you
need to optimize your model without having to look online for them. All parameter grids are manually
curated and updated.
A list of the most relevant libraries and models