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R-pmml
R-pmml.spec
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File R-pmml.spec of Package R-pmml
%global packname pmml %global rlibdir %{_libdir}/R/library Name: R-%{packname} Version: 1.4.2 Release: 1 Summary: Generate PMML for various models Group: Development/Libraries/Other License: GPL-2.0+ URL: http://cran.r-project.org/web/packages/%{packname}/index.html Source0: pmml_%{version}.tar.gz BuildRoot: %{_tmppath}/%{name}-%{version}-build Requires: R-base Requires: R-XML # Package suggestions #Requires: R-ada R-arules R-glmnet R-nnet R-rpart R-randomForestSRC R-randomForest R-kernlab R-e1071 R-mlbench R-pmmlTransformations BuildRequires: texlive BuildRequires: texinfo BuildRequires: fdupes # %if 0%{?suse_version} <= 1220 && 0%{?suse_version} != 1110 BuildRequires: texlive-fonts-extra %endif BuildRequires: R-base-devel R-XML # Package suggestions, not required to build #BuildRequires: R-ada R-arules R-glmnet R-nnet R-rpart R-randomForestSRC R-randomForest R-kernlab R-e1071 R-mlbench R-pmmlTransformations %description The Predictive Model Markup Language (PMML) is an XML-based language which provides a way for applications to define statistical and data mining models and to share models between PMML compliant applications. More information about PMML and the Data Mining Group can be found at http://www.dmg.org. The generated PMML can be imported into any PMML consuming application, such as the Zementis ADAPA and UPPI scoring engines which allow for predictive models built in R to be deployed and executed on site, in the cloud (Amazon, IBM, and FICO), in-database (IBM Netezza, Pivotal, Sybase IQ, Teradata and Teradata Aster) or Hadoop (Datameer and %prep %setup -q -c -n %{packname} %build %install mkdir -p %{buildroot}%{rlibdir} %{_bindir}/R CMD INSTALL -l %{buildroot}%{rlibdir} %{packname} test -d %{packname}/src && (cd %{packname}/src; rm -f *.o *.so) rm -f %{buildroot}%{rlibdir}/R.css %files %defattr(-, root, root, -) %dir %{rlibdir}/%{packname} %doc %{rlibdir}/%{packname}/html %doc %{rlibdir}/%{packname}/DESCRIPTION %doc %{rlibdir}/%{packname}/ChangeLog %{rlibdir}/%{packname}/INDEX %{rlibdir}/%{packname}/NAMESPACE %{rlibdir}/%{packname}/Meta %{rlibdir}/%{packname}/R %{rlibdir}/%{packname}/help %{rlibdir}/%{packname}/data %changelog
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