QuaPy/TODO.txt

Documentation with sphinx
Add NAE, NRAE
Add "measures for evaluating ordinal"?
Document methods with paper references
In binary quantification (hp, kindle, imdb) we used F1 in the minority class (which in kindle and hp happens to be the
negative class). This is not covered in this new implementation, in which the binary case is not treated as such, but as
an instance of single-label with 2 labels. Check
Add classnames to LabelledCollection ?
Add automatic reindex of class labels in LabelledCollection (currently, class indexes should be ordered and with no gaps)
Add datasets for topic.
Clarify whether QuaNet is an aggregative method or not.
Explore the hyperparameter "number of bins" in HDy
Rename EMQ to SLD ?
How many times is the system of equations for ACC and PACC not solved? How many times is it clipped? Do they sum up
    to one always?
Parallelize the kFCV in ACC and PACC
svmperf wrapper added 2020-12-03 16:59:13 +01:00			`Documentation with sphinx`
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			`Add NAE, NRAE`
			`Add "measures for evaluating ordinal"?`
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			`Document methods with paper references`
QuaNet added, two examples of TextClassifiers added (CNN, LSTM) 2020-12-29 20:33:59 +01:00			`In binary quantification (hp, kindle, imdb) we used F1 in the minority class (which in kindle and hp happens to be the`
			`negative class). This is not covered in this new implementation, in which the binary case is not treated as such, but as`
			`an instance of single-label with 2 labels. Check`
			`Add classnames to LabelledCollection ?`
making everything work like in the wiki 2021-02-17 18:05:22 +01:00			`Add automatic reindex of class labels in LabelledCollection (currently, class indexes should be ordered and with no gaps)`
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			`Add datasets for topic.`
			`Clarify whether QuaNet is an aggregative method or not.`
			`Explore the hyperparameter "number of bins" in HDy`
			`Rename EMQ to SLD ?`
			`How many times is the system of equations for ACC and PACC not solved? How many times is it clipped? Do they sum up`
adding tweet sent quant experiments 2021-01-11 18:31:12 +01:00			`to one always?`
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			`Parallelize the kFCV in ACC and PACC`