Quick examples for hyper-parameter optimization with hyperopt
- A simple example to get started: hyperec/simple.py.
- Using the Trials object to save each hyper parameter configuration tried and multiple loss function results: hyperec/trials_and_multi_losses.py.
- Finding best hyper parameters for decision tree with hyperopt during cross validation: hyperec/sklearn_cross_validation.py