syne_tune.blackbox_repository.conversion_scripts.scripts.icml2020_import module
- Convert evaluations from
A Quantile-based Approach for Hyperparameter Transfer Learning David Salinas Huibin Shen Valerio Perrone http://proceedings.mlr.press/v119/salinas20a/salinas20a.pdf
- syne_tune.blackbox_repository.conversion_scripts.scripts.icml2020_import.download(blackbox)[source]
- syne_tune.blackbox_repository.conversion_scripts.scripts.icml2020_import.serialize_deepar()[source]
- syne_tune.blackbox_repository.conversion_scripts.scripts.icml2020_import.serialize_xgboost()[source]
‘hp_log2_min_child_weight’, ‘hp_subsample’, ‘hp_colsample_bytree’, ‘hp_log2_gamma’, ‘hp_log2_lambda’, ‘hp_eta’, ‘hp_max_depth_index’, ‘hp_log2_alpha’, ‘metric_error’, ‘blackbox’, ‘task’
- class syne_tune.blackbox_repository.conversion_scripts.scripts.icml2020_import.XGBoostRecipe[source]
Bases:
BlackboxRecipe
- class syne_tune.blackbox_repository.conversion_scripts.scripts.icml2020_import.DeepARRecipe[source]
Bases:
BlackboxRecipe