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Currently, gridsearch chooses best model out of gridsearch on hyperparameters using some metric values. However, a customer will like to use custom metrics to be used as the evaluating metric for gridsearch to determine best model.
The text was updated successfully, but these errors were encountered:
wendycwong
changed the title
Make Custom Metrics a hyperparameter for gridsearch
Make Custom Metrics an evaluation metric to find best grid model for gridsearch
Jan 2, 2024
* Custom metric as a hyperparam for grid search
* Add test for custom_increasing
* Hide GAM's custom_metric_func until it's tested
* Revert changes in h2o-py/h2o/utils/shared_utils.py
* Fix python tests by hiding custom metrics when not calculated
Support ticket: https://support.h2o.ai/a/tickets/107079
Currently, gridsearch chooses best model out of gridsearch on hyperparameters using some metric values. However, a customer will like to use custom metrics to be used as the evaluating metric for gridsearch to determine best model.
The text was updated successfully, but these errors were encountered: