From c408deacae686394cf56280f073d99ee31edf57a Mon Sep 17 00:00:00 2001 From: Alejandro Moreo Date: Thu, 30 May 2024 11:41:23 +0200 Subject: [PATCH] cleaning and updating changelog --- CHANGE_LOG.txt | 3 +- README.md | 6 +-- docs/build/html/genindex.html | 6 ++- docs/build/html/index.html | 1 + docs/build/html/modules.html | 16 +++++-- docs/build/html/objects.inv | Bin 4066 -> 4073 bytes docs/build/html/quapy.classification.html | 11 ++++- docs/build/html/quapy.data.html | 33 +++++++++---- docs/build/html/quapy.html | 17 ++++++- docs/build/html/quapy.method.html | 54 ++++++++++++---------- docs/build/html/searchindex.js | 2 +- 11 files changed, 105 insertions(+), 44 deletions(-) diff --git a/CHANGE_LOG.txt b/CHANGE_LOG.txt index 8c99a6b..7867058 100644 --- a/CHANGE_LOG.txt +++ b/CHANGE_LOG.txt @@ -1,6 +1,7 @@ Change Log 0.1.9 ---------------- -- [TODO] add LeQua2024 +- [TODO] add LeQua2024 and normalized match distance to qp.error +- [TODO] add Friedman's method and DeBias - Added a default classifier for aggregative quantifiers, which now can be instantiated without specifying the classifier. The default classifier can be accessed in qp.environ['DEFAULT_CLS'] and is assigned to diff --git a/README.md b/README.md index b08da3a..f83c344 100644 --- a/README.md +++ b/README.md @@ -13,7 +13,7 @@ for facilitating the analysis and interpretation of the experimental results. ### Last updates: -* Version 0.1.8 is released! major changes can be consulted [here](CHANGE_LOG.txt). +* Version 0.1.9 is released! major changes can be consulted [here](CHANGE_LOG.txt). * The developer API documentation is available [here](https://hlt-isti.github.io/QuaPy/build/html/modules.html) ### Installation @@ -24,7 +24,7 @@ pip install quapy ### Cite QuaPy -If you find QuaPy useful (and we hope you will), plese consider citing the original paper in your research: +If you find QuaPy useful (and we hope you will), please consider citing the original paper in your research: ``` @inproceedings{moreo2021quapy, @@ -68,7 +68,7 @@ class prevalence of the training set. For this reason, any quantification model should be tested across many samples, even ones characterized by class prevalence values different or very different from those found in the training set. QuaPy implements sampling procedures and evaluation protocols that automate this workflow. -See the [Wiki](https://github.com/HLT-ISTI/QuaPy/wiki) for detailed examples. +See the [documentation](https://hlt-isti.github.io/QuaPy/build/html/) for detailed examples. ## Features diff --git a/docs/build/html/genindex.html b/docs/build/html/genindex.html index 7dcd630..22b7911 100644 --- a/docs/build/html/genindex.html +++ b/docs/build/html/genindex.html @@ -708,16 +708,18 @@
  • LeastSquaresLoss (class in quapy.method.composable)
    • - - +