From fb79a292042ad71e9a694224c744a61e1ab55a65 Mon Sep 17 00:00:00 2001 From: Alejandro Moreo Date: Tue, 8 Nov 2022 16:36:52 +0100 Subject: [PATCH] todos and change log --- TODO.txt | 3 ++- quapy/CHANGE_LOG.txt | 4 +++- 2 files changed, 5 insertions(+), 2 deletions(-) diff --git a/TODO.txt b/TODO.txt index c20e901..90f3301 100644 --- a/TODO.txt +++ b/TODO.txt @@ -1,7 +1,8 @@ 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.) 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: diff --git a/quapy/CHANGE_LOG.txt b/quapy/CHANGE_LOG.txt index 095bb76..6bef8b0 100644 --- a/quapy/CHANGE_LOG.txt +++ b/quapy/CHANGE_LOG.txt @@ -9,7 +9,7 @@ - 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). - 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 +- examples directory created! + Things to fix: - 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