 Alejandro Moreo Fernandez
|
40cb8f78fe
|
pytests before release
|
2024-02-14 12:27:19 +01:00 |
|
Alejandro Moreo Fernandez
|
a8230827e2
|
testing IFCB dataset
|
2024-02-08 14:33:22 +01:00 |
|
Alejandro Moreo Fernandez
|
fcc3f8a0d9
|
fixing sphinx doc
|
2024-02-07 18:31:34 +01:00 |
|
Alejandro Moreo Fernandez
|
e6dcfbced1
|
adding M.Bunse's reference for the solver='minimize' option of ACC, PACC
|
2024-01-25 18:03:35 +01:00 |
|
Alejandro Moreo Fernandez
|
74efa9751d
|
adding the approximate solution to ACC and PACC as suggested by Mirko Bunse
|
2024-01-25 16:43:00 +01:00 |
|
Alejandro Moreo Fernandez
|
7ac834bd2c
|
refactoring aggregation methods
|
2024-01-25 14:33:41 +01:00 |
|
Alejandro Moreo Fernandez
|
ff00de18cb
|
updating documentation a bit
|
2024-01-19 18:24:38 +01:00 |
|
Alejandro Moreo Fernandez
|
8d22ba39f4
|
method MS2 (Medium Sweep 2) fixed
|
2024-01-19 18:11:22 +01:00 |
|
Alejandro Moreo Fernandez
|
b68b58ad11
|
fixed optimization threshold methods (again)
|
2024-01-18 18:26:40 +01:00 |
|
Alejandro Moreo Fernandez
|
c0d92a2083
|
optimization threshold variants fixed
|
2024-01-18 18:22:22 +01:00 |
|
Alejandro Moreo Fernandez
|
9b2470c992
|
testing optimization threshold variants, not working
|
2024-01-17 19:15:50 +01:00 |
|
Alejandro Moreo Fernandez
|
896fa042d6
|
fixing threshold optimization-based techniques
|
2024-01-17 09:33:39 +01:00 |
|
Alejandro Moreo Fernandez
|
6d53b68d7f
|
refactoring aggregative
|
2024-01-10 15:39:27 +01:00 |
|
Alejandro Moreo Fernandez
|
513c78f1f3
|
model seletion in two levels, classifier oriented and quantifier oriented
|
2023-11-16 14:29:34 +01:00 |
|
Alejandro Moreo Fernandez
|
e870d798b7
|
fango
|
2023-11-15 10:55:13 +01:00 |
|
Alejandro Moreo Fernandez
|
173db83c28
|
solved __ issue in hierarchical classes
|
2023-11-13 17:03:24 +01:00 |
 Andrea Esuli
|
c2544b50ce
|
Removed private method
|
2023-11-13 14:45:34 +01:00 |
|
Alejandro Moreo Fernandez
|
c9c4511c0d
|
hierarchical class problem?
|
2023-11-13 12:42:57 +01:00 |
|
Alejandro Moreo Fernandez
|
44bfc7921f
|
refactoring agg quantifiers
|
2023-11-13 09:57:34 +01:00 |
|
Alejandro Moreo Fernandez
|
0a6185d908
|
refactoring the aggregative quantifiers
|
2023-11-12 14:45:03 +01:00 |
|
Alejandro Moreo Fernandez
|
25f1cc29a3
|
refactoring aggregative quantifiers
|
2023-11-12 13:04:19 +01:00 |
|
Alejandro Moreo Fernandez
|
29db15ae25
|
added DMx and DMy, with a classmethod that returns HDx and HDy respectively
|
2023-11-09 18:13:54 +01:00 |
|
Alejandro Moreo Fernandez
|
c3cf0e2d49
|
adding DistributionMatchingX, the covariate-specific equivalent counterpart of DistributionMatching
|
2023-11-08 16:13:48 +01:00 |
|
Alejandro Moreo Fernandez
|
76cf784844
|
added HDx and an example comparing HDy vs HDx
|
2023-11-08 15:34:17 +01:00 |
|
Alejandro Moreo Fernandez
|
67906f6f2d
|
adding uci_experiments to examples folder
|
2023-03-23 15:46:03 +01:00 |
|
Alejandro Moreo Fernandez
|
8fc4669046
|
import fix
|
2023-02-14 19:15:59 +01:00 |
|
Alejandro Moreo Fernandez
|
e0718b6e1b
|
merging from protocols (aka v0.1.7)
|
2023-02-14 18:13:21 +01:00 |
|
Alejandro Moreo Fernandez
|
c608647475
|
some bug fixes here and there
|
2023-02-13 19:27:48 +01:00 |
|
Alejandro Moreo Fernandez
|
505d2de823
|
elm examples
|
2023-02-13 12:01:52 +01:00 |
|
Alejandro Moreo Fernandez
|
4c74ff02a3
|
svmperf in one-vs-all bugfix
|
2023-02-11 10:47:27 +01:00 |
|
Alejandro Moreo Fernandez
|
952cf5e767
|
fixing bugs in one-vs-all
|
2023-02-10 19:02:17 +01:00 |
|
Alejandro Moreo Fernandez
|
e28abfc362
|
more examples, one-vs-all fixed
|
2023-02-09 19:39:16 +01:00 |
|
Alejandro Moreo Fernandez
|
2485117f05
|
adding documentation and adding one new example
|
2023-02-08 19:06:53 +01:00 |
|
Alejandro Moreo Fernandez
|
ceb88792c5
|
added DistributionMatching method, a generic model for distribution matching for multiclass quantification problems that takes the divergence and number of bins as hyperparameters
|
2023-01-31 15:08:58 +01:00 |
|
Alejandro Moreo Fernandez
|
f9a199d859
|
fixing hyperparameters with prefixes, and replacing learner with classifier in aggregative quantifiers
|
2023-01-27 18:13:23 +01:00 |
|
Alejandro Moreo Fernandez
|
09abcfc935
|
adding calibration methods from the abstension package to quapy
|
2023-01-18 19:46:19 +01:00 |
|
Alejandro Moreo Fernandez
|
6e910075ab
|
adding calibration methods from abstension package
|
2023-01-17 13:53:48 +01:00 |
|
Alejandro Moreo Fernandez
|
8b0b9f522a
|
some bugfixes, unittest and minor changes
|
2023-01-16 13:51:29 +01:00 |
|
Alejandro Moreo Fernandez
|
c20d9d5ea4
|
the heuristic exact_train_prev is performed via kFCV, using a new function qp.model_selection.cross_val_predict
|
2022-12-12 17:32:30 +01:00 |
|
Alejandro Moreo Fernandez
|
eb860e9678
|
adding the possibility to estimate the training prevalence, instead of using the true training prevalence, as a starting point in emq
|
2022-12-12 09:34:09 +01:00 |
|
Alejandro Moreo Fernandez
|
e40c409609
|
bugfix in NeuralClassifierTrainer; it was only configured to work well in binary problems
|
2022-10-04 11:03:08 +02:00 |
|
Alejandro Moreo Fernandez
|
543003f914
|
Merge pull request #13 from pglez82/dys_implementation
Dys implementation
|
2022-07-12 13:05:35 +02:00 |
Pablo González
|
c91961cff5
|
adding to __init__.py
|
2022-07-11 14:10:04 +02:00 |
|
Pablo González
|
428f10fb2d
|
adding SMM
|
2022-07-11 14:06:14 +02:00 |
|
Alejandro Moreo Fernandez
|
ecd0ad7ec7
|
unit test for replicability based on qp.util.temp_seed
|
2022-07-11 14:00:25 +02:00 |
|
Pablo González
|
46e294002f
|
dys implementation
|
2022-07-11 12:21:49 +02:00 |
|
Pablo González
|
750814ef2a
|
fixing bug in ACC when using cross validation
|
2022-06-24 14:20:08 +02:00 |
|
Alejandro Moreo Fernandez
|
2cc7db60cc
|
updating parallel policy to take n_jobs from environment (not yet tested)
|
2022-06-14 09:35:39 +02:00 |
|
Alejandro Moreo Fernandez
|
eba6fd8123
|
optimization conditional in the prediction function
|
2022-05-26 17:59:23 +02:00 |
|
Alejandro Moreo Fernandez
|
4bc9d19635
|
many changes, see change log
|
2022-05-25 19:14:33 +02:00 |