| Author | SHA1 | Message | Date |
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17b17d084f
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tune api for schedulers (#322)
* revise api and tests * rename prune_attr * update finetune notebook * add scheduler test and notebook * update tune api for scheduler * remove scheduler notebook * Update flaml/tune/tune.py Co-authored-by: Chi Wang <wang.chi@microsoft.com> * docstr * fix imports * clear notebook output * fix ray import * Update flaml/tune/tune.py Co-authored-by: Chi Wang <wang.chi@microsoft.com> * improve docstr * Update flaml/searcher/blendsearch.py Co-authored-by: Chi Wang <wang.chi@microsoft.com> * remove redundant import Co-authored-by: Qingyun Wu <qxw5138@psu.edu> Co-authored-by: Chi Wang <wang.chi@microsoft.com> |
4 years ago |
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7d269435ae | add save_best_config() | 4 years ago |
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72caa2172d
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model_history, ITER_HP, settings in AutoML(), checkpoint bug fix (#283)
if save_best_model_per_estimator is False and retrain_final is True, unfit the model after evaluation in HPO. retrain if using ray. update ITER_HP in config after a trial is finished. change prophet logging level. example and notebook update. allow settings to be passed to AutoML constructor. Are you planning to add multi-output-regression capability to FLAML #192 Is multi-tasking allowed? #277 can pass the auotml setting to the constructor instead of requiring a derived class. remove model_history. checkpoint bug fix. * model_history meaning save_best_model_per_estimator * ITER_HP * example update * prophet logging level * comment update in forecast notebook * print format improvement * allow settings to be passed to AutoML constructor * checkpoint bug fix * time limit for autohf regression test * skip slow test on macos * cleanup before del |
4 years ago |