olasaadi
06158c8508
update
2022-03-23 17:54:37 +02:00
olasaadi
312469212e
fix docstring and fix assert in test
2022-03-22 13:59:28 +02:00
olasaadi
5b3476071f
fix
2022-03-21 21:59:14 +02:00
olasaadi
8aa7bb8281
categorical features and QI passed by indexes
...
dataset include feature names and is_pandas param
2022-03-21 21:57:11 +02:00
olasaadi
3263f92bee
anonymizer works with numpy and return numpy/pandas as original dataset
2022-03-19 18:06:10 +02:00
olasaadi
7b788b9018
using dataset wrapper on anonymizer
2022-03-19 17:03:53 +02:00
Ron Shmelkin
a432b8f5f9
add pytorch Dataset
2022-03-19 17:03:44 +02:00
abigailt
a9162fbc43
Add more to wrappers
2022-03-19 17:03:44 +02:00
olasaadi
a2b560920f
apply changes
2022-03-15 10:52:45 +02:00
olasaadi
b4eddabd37
apply changes after rebase with wrappers
2022-03-10 13:49:05 +02:00
olasaadi
6afb175d6f
add dataset wrapper to docstring
2022-03-10 13:42:49 +02:00
olasaadi
eefad206cd
fix bug and update test_model
2022-03-10 13:42:47 +02:00
olasaadi
1280b849f4
using dataset wrapper on anonymizer
2022-03-10 13:41:57 +02:00
abigailt
f2df2fcc8c
Renaming
2022-03-07 19:09:31 +02:00
abigailt
3d82db80c4
Remove redundant code.
...
Use data wrappers in model wrapper APIs.
More typing.
2022-03-06 21:15:07 +02:00
RON SHMELKIN
9f4d649934
add generic dataset components ( #7 )
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* add generic dataset components
2022-02-22 12:00:04 +02:00
ABIGAIL GOLDSTEEN
b0c6c4d28e
Create initial version of wrappers for models ( #1 )
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* New wrapper classes for models
2022-02-10 15:36:41 +02:00
abigailgold
9de078f937
Update readme's with paper citations ( #21 )
2022-02-01 12:27:22 +02:00
olasaadi
3feebe8973
Regression minimization ( #20 )
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* support regression in minimization and add test
* fix #10
2022-01-27 15:57:55 +02:00
olasaadi
cb9278ddb5
Support regression models ( #19 )
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* support DecisionTreeRegressor
* support regression models
* Update membership_inference_dp_diabetes_reg.ipynb
2022-01-26 14:30:58 +02:00
olasaadi
a9a93c8a3a
Train just on qi ( #15 )
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* QI updates
* update code to support training ML on QI features
* fix code so features that are not from QI should not be part of generalizations
and add description
* merging two branches, training on QI and on all data
* adding tests and asserts
2022-01-12 17:01:27 +02:00
olasaadi
2eb626c00c
Sup cat features ( #14 )
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* support categorical features
* update the documentation and readme
added a test for the case where cells are supplied as a param.
* add big tests (adult test and iris)
and fixed bugs
* update transform to return numpy if original data is numpy
* added nursery test
* break loop if there is an illegal level
* Stop pruning one step before passing accuracy threshold
* adding asserts and fix DecisionTreeClassifier init
* Fix tests
Co-authored-by: abigailt <abigailt@il.ibm.com>
2022-01-11 09:51:04 +02:00
abigailgold
43952e2332
Minimization fixes ( #12 )
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* Fixes related to corner cases in calculating generalizations
* Fix print
* Fix corner cases in transform as well
* Improve prints + bug fixes in calculation of feature to remove
* Notebook demonstrating ai minimization
2021-08-17 21:19:48 +03:00
abigailt
c06e2180e9
Fix images
2021-07-12 16:06:32 +03:00
abigailt
797f575252
Fix image
2021-07-12 16:05:22 +03:00
abigailgold
f2e1364b43
Add data minimization functionality to the ai-privacy-toolkit ( #3 )
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* Fix directory issue when running tests for first time
* Initial version of data minimization
* Update version and documentation
* Fix documentation
2021-07-12 15:56:42 +03:00
abigailgold
bcc3d67ba4
Small fix + unified approach to numpy and pandas categorical data ( #2 )
2021-07-11 17:42:48 +03:00
abigailt
0358633f62
New pypi release, fixing distribution error
2021-06-30 22:28:14 +03:00
abigailt
12292d36c9
Try to fix documentation
2021-06-07 16:29:34 +03:00
abigailt
5665c2e79d
Initial commit
2021-04-28 14:00:19 +03:00
