 Alejandro Moreo Fernandez
|
e609c262b4
|
parallel functionality added to quapy in order to allow for multiprocess parallelization (and not threading) handling quapy's environment variables
|
2021-01-27 09:54:41 +01:00 |
|
Alejandro Moreo Fernandez
|
301e8b9088
|
adding uci ml datasets
|
2021-01-25 18:38:56 +01:00 |
|
Alejandro Moreo Fernandez
|
03cf73aff6
|
refactor: methods requiring a val_split can now declare a default value in the __init__ method that will be used in case the fit method is called without specifying the val_split, which now is by default None in the fit, i.e., by default takes the value of the init, that is generally set to 0.4; some uci datasets added; ensembles can now be optimized for quantification, and can be trained on samples of smaller size
|
2021-01-22 18:01:51 +01:00 |
|
Alejandro Moreo Fernandez
|
bf1cc74ba1
|
quapy fixed
|
2021-01-22 09:58:12 +01:00 |
|
Alejandro Moreo Fernandez
|
1ba0748b59
|
experimental method ave-pool, not working due to the fact that onevsall is aggregative and ave-pool is not
|
2021-01-20 17:03:12 +01:00 |
|
Alejandro Moreo Fernandez
|
482e4453a8
|
refactor of ensembles, launching EPACC with Ptr policy
|
2021-01-19 18:26:40 +01:00 |
|
Alejandro Moreo Fernandez
|
865dafaefc
|
setting a timeout for model_selection combinations in order to prevent some combinations to stuck the model selection
|
2021-01-15 17:42:19 +01:00 |
|
Alejandro Moreo Fernandez
|
326a8ab803
|
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)
|
2021-01-06 14:58:29 +01:00 |
|
Alejandro Moreo Fernandez
|
d8e2f7556e
|
QuaNet added, two examples of TextClassifiers added (CNN, LSTM)
|
2020-12-29 20:33:59 +01:00 |
|
Alejandro Moreo Fernandez
|
7bed93dcbf
|
added model selection for quantification
|
2020-12-22 17:43:23 +01:00 |
|
Alejandro Moreo Fernandez
|
649d412389
|
dataset fetch for polarity reviews (hp, kindle, imdb) and twitter sentiment (11 datasets) added
|
2020-12-14 18:36:19 +01:00 |
|
Alejandro Moreo Fernandez
|
c8a1a70c8a
|
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
|
2020-12-11 19:28:17 +01:00 |
|
Alejandro Moreo Fernandez
|
e55caf82fd
|
merged
|
2020-12-10 19:08:22 +01:00 |
|
Alejandro Moreo Fernandez
|
9bc3a9f28a
|
evaluation by artificial prevalence sampling added. New methods added. New util functions added to quapy.functional and quapy.utils
|
2020-12-10 19:04:33 +01:00 |
|
Alejandro Moreo Fernandez
|
2361186a01
|
aggregation methods updated
|
2020-12-09 12:46:50 +01:00 |
|
Alejandro Moreo Fernandez
|
9c8d29156c
|
aggregative methods adapted. Explicit loss minimization methods (SVMQ, SVMKLD, ...) added and with support to binary or single-label. HDy added
|
2020-12-04 19:32:08 +01:00 |