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todos and change log

This commit is contained in:
Alejandro Moreo Fernandez 2022-11-08 16:36:52 +01:00
parent eafc82c96a
commit fb79a29204
2 changed files with 5 additions and 2 deletions
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3
TODO.txt
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@ -1,7 +1,8 @@
sample_size should not be mandatory when qp.environ['SAMPLE_SIZE'] has been specified sample_size should not be mandatory when qp.environ['SAMPLE_SIZE'] has been specified
clean all the cumbersome methods that have to be implemented for new quantifiers (e.g., n_classes_ prop, etc.) clean all the cumbersome methods that have to be implemented for new quantifiers (e.g., n_classes_ prop, etc.)
make truly parallel the GridSearchQ make truly parallel the GridSearchQ
abstract protocols make more examples in the "examples" directory
merge with master, because I had to fix some problems with QuaNet due to an issue notified via GitHub!
Packaging: Packaging:

4
quapy/CHANGE_LOG.txt
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@ -9,7 +9,7 @@
- ACC, PACC, Forman's threshold variants have been parallelized. - ACC, PACC, Forman's threshold variants have been parallelized.
- Exploration of hyperparameters in Model selection can now be run in parallel (it was a n_jobs argument in - Exploration of hyperparameters in Model selection can now be run in parallel (there was a n_jobs argument in
QuaPy 0.1.6 but only the evaluation part for one specific hyperparameter was run in parallel). QuaPy 0.1.6 but only the evaluation part for one specific hyperparameter was run in parallel).
- The prediction function has been refactored, so it applies the optimization for aggregative quantifiers (that - The prediction function has been refactored, so it applies the optimization for aggregative quantifiers (that
@ -20,6 +20,8 @@
- n_jobs is now taken from the environment if set to None - n_jobs is now taken from the environment if set to None
- examples directory created!
Things to fix: Things to fix:
- clean functions like binary, aggregative, probabilistic, etc; those should be resolved via isinstance(): - clean functions like binary, aggregative, probabilistic, etc; those should be resolved via isinstance():
this is not working; I don't know how to make the isinstance work. Looks like there is some problem with the this is not working; I don't know how to make the isinstance work. Looks like there is some problem with the