Mango: a new way to make Bayesian optimisation in Python

Mango: A new way to do Bayesian optimization in Python

All you need to know about this library for scalable hyperparameter tuning of machine learning models

The optimization of model hyperparameters (or model settings) is perhaps the most important step in training a machine learning algorithm as it leads to finding the optimal parameters that minimize your model’s loss function. This step is also essential to building generalizable models that are not prone to …

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