A Python framework for Quantification

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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
quapy	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
.gitignore	data loading	2020-12-03 16:24:21 +01:00
LICENSE	Initial commit	2020-11-16 16:46:30 +01:00
README.md	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
TODO.txt	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
prepare_svmperf.sh	many aggregative methods added	2020-12-03 18:12:28 +01:00
svm-perf-quantification-ext.patch	many aggregative methods added	2020-12-03 18:12:28 +01:00
test.py	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

README.md

QuaPy

A Quantification framework written in Python.