automatic import of python-erroranalysis

3 files changed, 137 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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+/erroranalysis-0.4.2.tar.gz
diff --git a/python-erroranalysis.spec b/python-erroranalysis.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-erroranalysis
+Version:	0.4.2
+Release:	1
+Summary:	Core error analysis APIs
+License:	MIT License
+URL:		https://github.com/microsoft/responsible-ai-widgets
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/7c/49/21fe58730caef0298df5e3cef0dea5c6d22ac9d73ac993141c340f3f2405/erroranalysis-0.4.2.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-pandas
+Requires:	python3-scipy
+Requires:	python3-scikit-learn
+Requires:	python3-lightgbm
+Requires:	python3-raiutils
+
+%description
+# Error Analysis SDK for Python
+
+### This package has been tested with Python 3.6, 3.7, 3.8 and 3.9
+
+The error analysis sdk enables users to get a deeper understanding of machine learning model errors. When evaluating a machine learning model, aggregate accuracy is not sufficient and single-score evaluation may hide important conditions of inaccuracies. Use Error Analysis to identify cohorts with higher error rates and diagnose the root causes behind these errors.
+
+Highlights of the package include:
+
+- The error heatmap to investigate how one or two input features impact the error rate across cohorts
+- The decision tree surrogate model trained on errors to discover cohorts with high error rates across multiple features. Investigate indicators such as error rate, error coverage, and data representation for each discovered cohort.
+
+Please see the main documentation website:
+https://erroranalysis.ai/
+
+Auto-generated sphinx API documentation can be found here:
+https://erroranalysis.ai/raiwidgets.html
+
+The open source code can be found here:
+https://github.com/microsoft/responsible-ai-widgets
+
+
+%package -n python3-erroranalysis
+Summary:	Core error analysis APIs
+Provides:	python-erroranalysis
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-erroranalysis
+# Error Analysis SDK for Python
+
+### This package has been tested with Python 3.6, 3.7, 3.8 and 3.9
+
+The error analysis sdk enables users to get a deeper understanding of machine learning model errors. When evaluating a machine learning model, aggregate accuracy is not sufficient and single-score evaluation may hide important conditions of inaccuracies. Use Error Analysis to identify cohorts with higher error rates and diagnose the root causes behind these errors.
+
+Highlights of the package include:
+
+- The error heatmap to investigate how one or two input features impact the error rate across cohorts
+- The decision tree surrogate model trained on errors to discover cohorts with high error rates across multiple features. Investigate indicators such as error rate, error coverage, and data representation for each discovered cohort.
+
+Please see the main documentation website:
+https://erroranalysis.ai/
+
+Auto-generated sphinx API documentation can be found here:
+https://erroranalysis.ai/raiwidgets.html
+
+The open source code can be found here:
+https://github.com/microsoft/responsible-ai-widgets
+
+
+%package help
+Summary:	Development documents and examples for erroranalysis
+Provides:	python3-erroranalysis-doc
+%description help
+# Error Analysis SDK for Python
+
+### This package has been tested with Python 3.6, 3.7, 3.8 and 3.9
+
+The error analysis sdk enables users to get a deeper understanding of machine learning model errors. When evaluating a machine learning model, aggregate accuracy is not sufficient and single-score evaluation may hide important conditions of inaccuracies. Use Error Analysis to identify cohorts with higher error rates and diagnose the root causes behind these errors.
+
+Highlights of the package include:
+
+- The error heatmap to investigate how one or two input features impact the error rate across cohorts
+- The decision tree surrogate model trained on errors to discover cohorts with high error rates across multiple features. Investigate indicators such as error rate, error coverage, and data representation for each discovered cohort.
+
+Please see the main documentation website:
+https://erroranalysis.ai/
+
+Auto-generated sphinx API documentation can be found here:
+https://erroranalysis.ai/raiwidgets.html
+
+The open source code can be found here:
+https://github.com/microsoft/responsible-ai-widgets
+
+
+%prep
+%autosetup -n erroranalysis-0.4.2
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-erroranalysis -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.2-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..309eadb
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+63ad62c8c140dcfdcc895a3f6fe0b653  erroranalysis-0.4.2.tar.gz