1e16d7fd76
Merge branch 'anishathalye/copyright-assign'
2022-01-10 06:06:51 -05:00
13895791ef
Bump copyright year
2021-12-31 11:02:23 -05:00
0fc2ddc974
Switch copyright assignment to Cleanlab
2021-12-27 09:59:29 -05:00
7e7cdb456f
Sync license text
...
This patch updates metadata in `setup.py` and comments in other files to
clarify that the current license is AGPLv3, as is specified in the
current `LICENSE` file.
This patch also removes the "this agreement applies to this version and
all previous versions" text from the README and code comments, because
it is redundant; the previous code was already released under a _more
liberal_ license, so giving the option of AGPLv3 is not useful (and
perhaps confusing).
2021-12-27 09:43:56 -05:00
bb3300a96a
change license to agpl-3
2021-06-05 21:23:58 -04:00
a3658211bc
Fix a bug printing too much debug information.
2021-05-05 13:40:45 -04:00
7023b6baa7
Clean up docstrings for ReadTheDocs
2021-04-19 02:56:45 -04:00
3984417c01
Update for GNU GPL licensing
2021-03-03 18:08:34 -05:00
e647398bd2
BIG UPDATE: fully support Windows multiprocessing and python 3.7
2020-02-17 01:59:33 -05:00
b1226fe4da
PEP-8 adherence
2020-02-16 21:19:41 -05:00
f2f7a3ce29
Make Windows Python pruning default to 1 process and not use multiprocessing
2020-02-14 15:56:52 -05:00
a6b28030da
simplify logic and shorten code for prune_by_noise_rate
2019-09-19 12:22:44 -04:00
5ec1a2cf81
FATAL bug fix for prune_by_noise_rate. margin was wrong. was same as np.argmax
2019-09-19 12:00:01 -04:00
1aed258481
Remove unused parameter
2019-09-04 21:55:58 -04:00
b7af0bba86
BUG FIX: wrong index was used for s_counts check
2019-09-04 16:52:47 -04:00
54022a7e98
Fixed bug: make data global for _prune_by methods
2019-09-04 00:08:22 -04:00
4a1e7cd195
Support non-parallelized version of pruning with n_jobs = 1
2019-09-03 23:28:40 -04:00
1625d9e9dd
Major speed-up by removing np.all on single labels
2019-08-21 01:07:51 -04:00
4fc013aaec
remove ipynb [ ] artifacts
2019-08-19 18:02:42 -04:00
6d410511f8
Added verbose parameter, default printing off
2019-07-27 21:42:58 -07:00
8892a99cb0
Remove a multiprocessing method from coverage
2019-07-27 18:54:17 -07:00
361a7dbb40
Remove multiprocessing methods from coverage
2019-07-27 18:45:00 -07:00
976bde7a1c
BIG CHANGE: added multi_label support, fixed cj rounding, added tests
2019-07-27 18:23:11 -07:00
1b04c7c346
remove calls to estimate_confident_joint_from_probabilities
2019-07-26 22:23:36 -04:00
f19c6b5792
Fixed warning message.
2019-07-02 15:05:18 -04:00
07833d133f
Fix order of imports for pylint compliance
2019-06-24 16:43:39 -04:00
82596251d0
Made pruning code flake8 pylint compliant.
2019-06-24 16:06:39 -04:00
7a12ecc938
Fixed test. only use exact pruning count with prune_by_class
2019-06-24 14:56:59 -04:00
878925ad8e
Fix python 2 and 3 compatibility with stdout.flush
2019-06-24 12:44:05 -04:00
96262c0c39
Error Fix: remove tqdm import
2019-06-19 17:36:04 -04:00
f33c97e720
BIG CHANGE: Remove tqdm as a package dependency. instead warn to install.
2019-06-19 17:15:37 -04:00
95228b3e4d
MAJOR CHANGES: remove maxpred==label, multi-label support, simplified ordering
2019-02-26 16:55:04 -05:00
1c7d341a9a
MAJOR CHANGE: multiprocessed ordering, removed prune_count_method
2019-02-16 03:51:24 -05:00
f44372cf31
Return array of False (isntead of None) when no label errors
2019-02-15 22:44:56 -05:00
e7c961a9cc
BIG CHANGE: Confident learning now uses multiprocessing for finding label errors.
2019-02-15 22:23:58 -05:00
574346e7ab
Add environment bang header.
2019-02-14 19:27:16 -05:00
66de6a42fc
Update docstsring to explain multi_label param
2019-02-14 18:35:04 -05:00
6658e483c5
Add support for multi-label classification.
2019-01-21 20:59:56 -05:00
49af85e6ae
Fixed error that occurs when num2prune == len(s)
2018-12-24 13:03:53 -08:00
f844042488
Fixed typo.
2018-12-22 23:19:09 -08:00
cac0dc2b06
Fixed typo.
2018-12-22 23:14:11 -08:00
de53acc7b4
Added feature to return sorted label error indices in get_noise_indices
2018-12-22 23:12:17 -08:00
92cb914a94
Fixed broadcasting error.
2018-12-22 22:31:40 -08:00
ed34e5895c
prune_by_noise_rate now orders by p(true) - p(noisy) instead of p(true)
2018-12-22 22:22:15 -08:00
1607be6f37
Optimization speed increase -- don't find errors if no errors to find
2018-12-22 22:08:31 -08:00
0df1869c0e
Fixed num_to_remove_per_class
2018-12-07 22:46:39 -05:00
88854d73d6
Explain which prune_count_method to use in comments.
2018-12-06 18:02:34 -05:00
5c16727068
Finds the indices of the examples with label errors in a dataset.
2018-11-21 12:52:09 -05:00
Anish Athalye