 Alejandro Moreo Fernandez
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561b672200
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updated unit tests
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2024-04-16 15:12:22 +02:00 |
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Alejandro Moreo Fernandez
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a04723a976
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switching
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2024-03-20 17:31:07 +01:00 |
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Alejandro Moreo Fernandez
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aa894a3472
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merging PR; I have taken this opportunity to refactor some issues I didnt like, including the normalization of prevalence vectors, and improving the documentation here and there
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2024-03-19 15:01:42 +01:00 |
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Alejandro Moreo Fernandez
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36ac6db27d
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fixing doc
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2024-03-18 23:39:55 +01:00 |
Paweł Czyż
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5cdd158fcc
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Add invariant ratio estimators.
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2024-03-15 18:14:42 +01:00 |
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Paweł Czyż
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d34b086a76
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Refactor solving routine
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2024-03-15 17:58:23 +01:00 |
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Paweł Czyż
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4dd66b1921
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Add projection onto the probability simplex
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2024-03-15 17:15:16 +01:00 |
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Paweł Czyż
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2cc4908326
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Sketch of the Bayesian quantification
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2024-03-15 14:01:24 +01:00 |
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Alejandro Moreo Fernandez
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c0d92a2083
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optimization threshold variants fixed
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2024-01-18 18:22:22 +01:00 |
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Alejandro Moreo Fernandez
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896fa042d6
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fixing threshold optimization-based techniques
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2024-01-17 09:33:39 +01:00 |
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Alejandro Moreo Fernandez
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29db15ae25
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added DMx and DMy, with a classmethod that returns HDx and HDy respectively
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2023-11-09 18:13:54 +01:00 |
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Alejandro Moreo Fernandez
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c3cf0e2d49
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adding DistributionMatchingX, the covariate-specific equivalent counterpart of DistributionMatching
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2023-11-08 16:13:48 +01:00 |
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Alejandro Moreo Fernandez
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76cf784844
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added HDx and an example comparing HDy vs HDx
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2023-11-08 15:34:17 +01:00 |
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Alejandro Moreo Fernandez
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2485117f05
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adding documentation and adding one new example
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2023-02-08 19:06:53 +01:00 |
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Alejandro Moreo Fernandez
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8b0b9f522a
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some bugfixes, unittest and minor changes
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2023-01-16 13:51:29 +01:00 |
Pablo González
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46e294002f
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dys implementation
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2022-07-11 12:21:49 +02:00 |
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Alejandro Moreo Fernandez
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eba6fd8123
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optimization conditional in the prediction function
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2022-05-26 17:59:23 +02:00 |
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Alejandro Moreo Fernandez
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b453c8fcbc
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first commit protocols
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2022-05-20 16:48:46 +02:00 |
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Alejandro Moreo Fernandez
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ba18d00334
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trying to figure out how to refactor protocols meaninguflly
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2021-12-20 11:39:44 +01:00 |
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Alejandro Moreo Fernandez
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5deb92b457
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update doc
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2021-12-07 17:16:39 +01:00 |
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Alejandro Moreo Fernandez
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7468519495
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testing baselines for lequa
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2021-11-24 11:20:42 +01:00 |
 Andrea Esuli
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5b772c7eda
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Bug fixes on use of classes_. Tests.
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2021-05-05 17:12:44 +02:00 |
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Alejandro Moreo Fernandez
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5e64d2588a
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import fixes
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2021-01-15 18:32:32 +01:00 |
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Alejandro Moreo Fernandez
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326a8ab803
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added Ensemble methods (methods ALL, ACC, Ptr, DS from Pérez-Gallego et al 2017 and 2019) and some UCI ML datasets used in those articles (only 5 datasets out of 32 they used)
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2021-01-06 14:58:29 +01:00 |
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Alejandro Moreo Fernandez
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7d6f523e4b
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uniform sampling added if *prevs is empty
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2020-12-17 18:17:17 +01:00 |
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Alejandro Moreo Fernandez
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c8a1a70c8a
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refactoring aggregative methods as methods that not only implement 'classify' and 'quantify', but that also implement 'aggregate' and that, by default, have a default implementation of 'quantify' as a pipeline of 'classify' and 'aggregate'; this helps speeding up evaluations A LOT, since the documents can be pre-classified and the samples are carried out across pre-classified values (labels, or posterior probabilities), and thus only aggregate is called many times within the artificial sampling protocol
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2020-12-11 19:28:17 +01:00 |
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Alejandro Moreo Fernandez
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e55caf82fd
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merged
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2020-12-10 19:08:22 +01:00 |
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Alejandro Moreo Fernandez
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9bc3a9f28a
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evaluation by artificial prevalence sampling added. New methods added. New util functions added to quapy.functional and quapy.utils
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2020-12-10 19:04:33 +01:00 |
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Alejandro Moreo Fernandez
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9c8d29156c
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aggregative methods adapted. Explicit loss minimization methods (SVMQ, SVMKLD, ...) added and with support to binary or single-label. HDy added
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2020-12-04 19:32:08 +01:00 |
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Alejandro Moreo Fernandez
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a882424eeb
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many aggregative methods added
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2020-12-03 18:12:28 +01:00 |