3 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
Naga Budigam
2fb888e64e
Tutorial on using AutoML in sklearn pipeline (#157)
* tutorial on using AutoML in sklearn pipeline
2021-08-11 17:46:46 -07:00