Alejandro Moreo Fernandez
|
7d6f523e4b
|
uniform sampling added if *prevs is empty
|
2020-12-17 18:17:17 +01:00 |
Alejandro Moreo Fernandez
|
71949e9a03
|
cleaning
|
2020-12-15 15:20:35 +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 |
Alejandro Moreo Fernandez
|
a882424eeb
|
many aggregative methods added
|
2020-12-03 18:12:28 +01:00 |
Alejandro Moreo Fernandez
|
78988c87f9
|
svmperf wrapper added
|
2020-12-03 16:59:13 +01:00 |
Alejandro Moreo Fernandez
|
e81009e665
|
fixing dataset loading
|
2020-12-03 16:36:54 +01:00 |
Alejandro Moreo Fernandez
|
b6820e8dba
|
data loading
|
2020-12-03 16:24:21 +01:00 |