optuna.integration.lightgbm.train
- optuna.integration.lightgbm.train(*args, **kwargs)[source]
Wrapper of LightGBM Training API to tune hyperparameters.
It tunes important hyperparameters (e.g.,
min_child_samples
andfeature_fraction
) in a stepwise manner. It is a drop-in replacement for lightgbm.train(). See a simple example of LightGBM Tuner which optimizes the validation log loss of cancer detection.train()
is a wrapper function ofLightGBMTuner
. To use feature in Optuna such as suspended/resumed optimization and/or parallelization, refer toLightGBMTuner
instead of this function.Arguments and keyword arguments for lightgbm.train() can be passed.