Commit Graph

10 Commits

Author SHA1 Message Date
Chi Wang ea6d28d7bd
add max_depth to xgboost search space (#282)
* add max_depth to xgboost search space

* notebook update

* two learners for xgboost (max_depth or max_leaves)
2021-11-22 21:17:48 -08:00
Chi Wang f48ca2618f
warning -> info for low cost partial config (#231)
* warning -> info for low cost partial config
#195, #110

* when n_estimators < 0, use trained_estimator's

* log debug info

* test random seed

* remove "objective"; avoid ZeroDivisionError

* hp config to estimator params

* check type of searcher

* default n_jobs

* try import

* Update searchalgo_auto.py

* CLASSIFICATION

* auto_augment flag

* min_sample_size

* make catboost optional
2021-10-08 16:09:43 -07:00
Chi Wang 6ab0730793
remove catboost training dir; ensemble api; blendsearch for hierarchical space; ranking task; forecast improvement (#178)
* remove catboost training dir

* close #48

* bs for hierarchical space. close #85

* retrain for hierarchical space

* clean ml (#180)

Co-authored-by: Qingyun Wu <qxw5138@psu.edu>

* support ranking task

* examples

* cv shuffle

* forecast api and implementation cleaner

* period constraints

* delete groups after fit
2021-09-01 16:25:04 -07:00
Qingyun Wu a229a6112a
Support parallel and add random search (#167)
* non hashable value out of signature

* parallel trials

* add random in _search_parallel

* fix bug in retraining

* check memory constraint before training

* retrain_full

* log custom metric

* retraining budget check

* sample size check before retrain

* remove 'time2eval' from result

* report 'total_search_time' in result

* rename total_search_time to wall_clock_time

* rename train_loss boolean to log_training_metric

* set default train_loss to None

* exclude oom result

* log retrained model

* no subsample

* doc str

* notebook

* predicted value is NaN for sarimax

* version

Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Co-authored-by: Qingyun Wu <qxw5138@psu.edu>
2021-08-23 16:36:51 -07:00
Qingyun Wu b04b00dc9d
V0.5.6 (#128)
* recover ConcurrencyLimiter

* cost attribute

* update notebooks

Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Co-authored-by: Qingyun Wu <qiw@microsoft.com>
2021-07-06 08:32:20 -07:00
Chi Wang 3083229e40
Notebook (#87)
* notebook update
2021-05-07 19:50:50 -07:00
Qingyun Wu 06045703bf
Lgbm w customized obj (#64)
* add customized lgbm learner

* add comments

* fix format issue

* format

* OpenMLError

* add test

* add notebook

Co-authored-by: Chi Wang (MSR) <chiw@microsoft.com>
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
2021-04-10 21:14:28 -04:00
Chi Wang 97a7c114ee
Issue58 (#59)
* iter per learner

* code cleanup
2021-04-08 09:29:55 -07:00
Chi Wang 4a8110c87b
pickle the AutoML object (#37)
* pickle the AutoML object

* get best model per estimator

* test deberta

* stateless API

* Add Gitter badge (#41)

* prevent divide by zero

* test roberta

* BlendSearchTuner

Co-authored-by: Chi Wang (MSR) <chiw@microsoft.com>
Co-authored-by: The Gitter Badger <badger@gitter.im>
2021-03-16 22:13:35 -07:00
Chi Wang 7bd231e497
v0.2.6 (#32)
* xgboost notebook

* finetuning notebook

* finetuning test

* experimental nni support

* support nested search space

* log file name

* record training_iteration

* eps

* reset times

* std set to default step size if 0
2021-02-28 12:43:43 -08:00