 Alejandro Moreo Fernandez
|
1d12e96867
|
cleaning
|
2021-04-28 11:27:25 +02:00 |
|
Alejandro Moreo Fernandez
|
8381bce3a8
|
more fgsld
|
2021-03-11 19:00:40 +01:00 |
|
Alejandro Moreo Fernandez
|
775417c8eb
|
bugfix in PACC
|
2021-02-18 13:48:41 +01:00 |
|
Alejandro Moreo Fernandez
|
854d759dc4
|
making everything work like in the wiki
|
2021-02-17 18:05:22 +01:00 |
|
Alejandro Moreo Fernandez
|
70da8f7925
|
updating the documentation
|
2021-02-16 19:38:52 +01:00 |
|
Alejandro Moreo Fernandez
|
3aaf57f2f3
|
all uci datasets from Pérez-Gállego added, quantification report added
|
2021-01-28 18:22:43 +01:00 |
|
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
|
8a53cfe677
|
parallel in threading mode (another)
|
2021-01-25 16:46:59 +01:00 |
|
Alejandro Moreo Fernandez
|
2fda46fc13
|
qp.environment was not reachable within Parallel processes; changing backend to threading
|
2021-01-25 09:58:39 +01:00 |
|
Alejandro Moreo Fernandez
|
e7527bd7ed
|
bugfix
|
2021-01-25 09:02:11 +01:00 |
|
Alejandro Moreo Fernandez
|
2001c6d852
|
running ensembles
|
2021-01-25 08:54:10 +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
|
54dc2980e6
|
creating checkpointdir in fit
|
2021-01-22 10:03:08 +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
|
99132c8166
|
fixing quanet
|
2021-01-20 12:35:14 +01:00 |
|
Alejandro Moreo Fernandez
|
f69eb59eb8
|
launching quanet
|
2021-01-20 09:01:04 +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
|
1399125fb8
|
adding QuaNet to experiments of Twitter; trying new stuff in 'NewMethods'
|
2021-01-18 19:14:04 +01:00 |
|
Alejandro Moreo Fernandez
|
b30c40b7a0
|
some refactor made in order to accomodate OneVsAll to operate with aggregative probabilistic quantifiers; launching OneVsAll(HDy)
|
2021-01-18 16:52:19 +01:00 |
|
Alejandro Moreo Fernandez
|
8ef9e6a633
|
bugfix
|
2021-01-18 10:53:22 +01:00 |
|
Alejandro Moreo Fernandez
|
5e64d2588a
|
import fixes
|
2021-01-15 18:32:32 +01:00 |
|
Alejandro Moreo Fernandez
|
c5ae2f8b1f
|
adding table manager
|
2021-01-15 08:33:39 +01:00 |
|
Alejandro Moreo Fernandez
|
2ec3400d15
|
adding tweet sent quant experiments
|
2021-01-11 18:31:12 +01:00 |
|
Alejandro Moreo Fernandez
|
41347b50f9
|
cleaning and adding some uci datasets
|
2021-01-11 12:55:06 +01:00 |
|
Alejandro Moreo Fernandez
|
d1b449d2e9
|
plot functionality added
|
2021-01-07 17:58:48 +01:00 |
|
Alejandro Moreo Fernandez
|
5894d46b31
|
cleaning
|
2021-01-06 15:00:48 +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
|
71949e9a03
|
cleaning
|
2020-12-15 15:20:35 +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 |
|
Alejandro Moreo Fernandez
|
a882424eeb
|
many aggregative methods added
|
2020-12-03 18:12:28 +01:00 |