How to Use W&B Sweeps with LightGBM for Hyperparameter Tuning

Understand how different hyperparameters’ effects on model performance

Hyperparameter tuning is an important step in the modeling process to improve model performance and to customize model hyperparameters to better suit your dataset. There are different useful tools and packages that help with hyperparameter tuning, using grid, random or Bayesian searches. These search functions return outputs of models trained on our dataset with different hyperparameters, but how do you make…