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68 Commits

Author SHA1 Message Date
Chi Wang
15fd8adac4
max_leaves (#138) 
* max_leaf_nodes in rf and extra_tree

* preprocess numpy str

* free up mem after training
 2021-07-27 18:02:49 -07:00
Chi Wang
b3bb00966d
coverage (#135) 
* coverage

* readme

* timeout
 2021-07-20 17:00:44 -07:00
Chi Wang
072e9e4588
constraint (#132) 
* constraint

* ensemble
 2021-07-10 09:02:17 -07:00
Qingyun Wu
a291abfab9
Cha cha (#127) 
* unordered categorical

* allow cost attribute to be None

* tensorboardX version

* quote

* cfo cat

* trunc

* Update version.py

* incumbent is normalized

* python 3.9

* remove ConcurrencyLimiter

* seed

* estimator

* update autovw notebook

Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Co-authored-by: Qingyun Wu <qiw@microsoft.com>
 2021-07-05 18:17:26 -07:00
Chi Wang
c26720c299
api doc for chacha (#105) 
* api doc for chacha

* update params

* link to paper

* update dataset id

Co-authored-by: Chi Wang (MSR) <chiw@microsoft.com>
Co-authored-by: Qingyun Wu <qiw@microsoft.com>
 2021-06-11 10:25:45 -07:00
Chi Wang
f7cf2ea45a
Multiclass (#99) 
* utility functions

* stepsize lower bound
 2021-06-04 10:31:33 -07:00
Chi Wang
b206363c9a
metric constraint (#90) 
* penalty change

* metric modification

* catboost init
 2021-05-22 08:51:38 -07:00
Chi Wang
0b23c3a028
stepsize (#86) 
* decrease step size in suggest

* initialization of the counters

* increase step size

* init phase

* check converge in suggest
 2021-05-06 21:29:38 -07:00
Qingyun Wu
f4f3f4f17b
update image url (#71) 
* update image url

* ArffException

* OpenMLError is ValueError

* CatBoostError

* reduce build on push

Co-authored-by: Chi Wang (MSR) <wang.chi@microsoft.com>
 2021-04-21 01:36:06 -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
b7a91e0385
V0.3.0 (#55) 
* flaml v0.3

* low cost partial config
 2021-04-06 11:37:52 -07:00
Chi Wang
37d7518a4c
sample weight in xgboost (#54) 2021-03-31 22:11:56 -07:00
Chi Wang
f28d093522
v0.2.10 (#51) 
* increase search space

* None check
 2021-03-28 17:54:25 -07:00
Chi Wang
ae5f8e5426
data validation (#45) 
* pickle the AutoML object

* get best model per estimator

* test deberta

* stateless API

* prevent divide by zero

* test roberta

* BlendSearchTuner

* delta time

* reindex columns when dropping int-indexed columns

* test drop columns and small training data

* param set for ensemble builder

* fillna on copy

Co-authored-by: Chi Wang (MSR) <chiw@microsoft.com>
 2021-03-19 09:50:47 -07:00
Chi Wang (MSR)
20ce01b33d criterion is categorical hp 2021-02-09 15:47:01 -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
Chi Wang (MSR)
492990655d v0.1.0 2020-12-04 09:40:27 -08:00