From 3835f89e9d529a3aba72184687b8afa45b3f5de8 Mon Sep 17 00:00:00 2001 From: Alex Moreo Date: Wed, 15 Dec 2021 15:27:43 +0100 Subject: [PATCH] adding documentation --- TODO.txt | 4 + docs/build/html/genindex.html | 38 +- docs/build/html/objects.inv | Bin 2709 -> 2619 bytes docs/build/html/quapy.method.html | 1456 ++++++++++++++++++++++++----- docs/build/html/searchindex.js | 2 +- quapy/method/aggregative.py | 509 ++++++++-- quapy/method/base.py | 103 +- quapy/method/meta.py | 186 +++- quapy/method/neural.py | 6 +- quapy/method/non_aggregative.py | 46 +- 10 files changed, 1944 insertions(+), 406 deletions(-) diff --git a/TODO.txt b/TODO.txt index a19f6d6..8a674a7 100644 --- a/TODO.txt +++ b/TODO.txt @@ -24,6 +24,10 @@ Do we want to cover cross-lingual quantification natively in QuaPy, or does it m Current issues: ========================================== +Revise the class structure of quantification methods and the methods they inherit... There is some confusion regarding + methods isbinary, isprobabilistic, and the like. The attribute "learner_" in aggregative quantifiers is also + confusing, since there is a getter and a setter. +Remove the "deep" in get_params. There is no real compatibility with scikit-learn as for now. SVMperf-based learners do not remove temp files in __del__? 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 diff --git a/docs/build/html/genindex.html b/docs/build/html/genindex.html index c5b4815..6ba0ab0 100644 --- a/docs/build/html/genindex.html +++ b/docs/build/html/genindex.html @@ -80,8 +80,6 @@
  • acc_error() (in module quapy.error)
  • acce() (in module quapy.error) -
    • -
  • accuracy_policy() (quapy.method.meta.Ensemble method)
  • add_word() (quapy.data.preprocessing.IndexTransformer method)
    • @@ -226,12 +224,6 @@
  • clean_checkpoint_dir() (quapy.method.neural.QuaNetTrainer method)
  • CNNnet (class in quapy.classification.neural) -
    • -
  • compute_fpr() (quapy.method.aggregative.ThresholdOptimization method) -
    • -
  • compute_table() (quapy.method.aggregative.ThresholdOptimization method) -
    • -
  • compute_tpr() (quapy.method.aggregative.ThresholdOptimization method)
  • counts() (quapy.data.base.LabelledCollection method)
    • @@ -257,6 +249,8 @@
  • dimensions() (quapy.classification.neural.TextClassifierNet method)
    • + + - @@ -619,7 +607,7 @@
  • natural_prevalence_prediction() (in module quapy.evaluation) @@ -650,14 +638,6 @@ @@ -721,8 +701,6 @@
  • ProbabilisticAdjustedClassifyAndCount (in module quapy.method.aggregative)
  • ProbabilisticClassifyAndCount (in module quapy.method.aggregative) -
    • -
  • ptr_policy() (quapy.method.meta.Ensemble method)
    • @@ -968,11 +946,11 @@