* Reuse code between generalize and transform methods
* Option to get encoder from user
* Consistent encoding for decision tree and generalizations (separate from target model encoding)
* Squashed commit of wrappers:
Wrapper minimizer
* apply dataset wrapper on minimizer
* apply changes on minimization notebook
* add black_box_access and unlimited_queries params
Dataset wrapper anonymizer
Add features_names to ArrayDataset
and allow providing features names in QI and Cat features not just indexes
update notebooks
categorical features and QI passed by indexes
dataset include feature names and is_pandas param
add pytorch Dataset
Remove redundant code.
Use data wrappers in model wrapper APIs.
add generic dataset components
Create initial version of wrappers for models
* Fix handling of categorical features
commit d53818644e
Author: olasaadi <92303887+olasaadi@users.noreply.github.com>
Date: Mon Mar 7 20:12:55 2022 +0200
Build the dt on all features anon (#23)
* add param to build the DT on all features and not just on QI
* one-hot encoding only for categorical features
commit c47819a031
Author: abigailt <abigailt@il.ibm.com>
Date: Wed Feb 23 19:40:11 2022 +0200
Update docs
commit 7e2ce7fe96
Merge: 7fbd1e4752871d
Author: abigailt <abigailt@il.ibm.com>
Date: Wed Feb 23 19:26:44 2022 +0200
Merge remote-tracking branch 'origin/main' into main
commit 7fbd1e4b90
Author: abigailt <abigailt@il.ibm.com>
Date: Wed Feb 23 19:22:54 2022 +0200
Update version and docs
commit 752871dd0c
Author: olasaadi <92303887+olasaadi@users.noreply.github.com>
Date: Wed Feb 23 14:57:12 2022 +0200
add minimization notebook (#22)
* add german credit notebook to showcase new features (minimize only some features and categorical features)
* add notebook to show minimization data on a regression problem
