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9 Commits

Author SHA1 Message Date
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
すずまる
6270353458
support ROC and AUC for multi-class classification (#170) 
* support ROC and AUC for multi-class classification

* add a test case to cover ROC and AUC for multi-class classification
 2021-08-22 15:16:10 -07:00
Chi Wang
b3bb00966d
coverage (#135) 
* coverage

* readme

* timeout
 2021-07-20 17:00:44 -07:00
Chi Wang
3083229e40
Notebook (#87) 
* notebook update
 2021-05-07 19:50:50 -07:00
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
6ff0ed434b
v0.2.5 (#30) 
* test distillbert

* import check

* complete partial config

* None check

* init config is not suggested by bo

* badge

* notebook for lightgbm
 2021-02-22 22:10:41 -08:00
Chi Wang (MSR)
79a851e408 step curve 2021-02-17 14:03:19 -08:00
Chi Wang
776aa55189
V0.2.2 (#19) 
* v0.2.2

separate the HPO part into the module flaml.tune
enhanced implementation of FLOW^2, CFO and BlendSearch
support parallel tuning using ray tune
add support for sample_weight and generic fit arguments
enable mlflow logging

Co-authored-by: Chi Wang (MSR) <chiw@microsoft.com>
Co-authored-by: qingyun-wu <qw2ky@virginia.edu>
 2021-02-05 21:41:14 -08:00