DESCRIPTION

Package: pmml
Type: Package
Title: GeneratePMML
Version: 1.5.3
Date: 2017-02-24
Author: Graham Williams, Tridivesh Jena, Wen Ching Lin, Michael Hahsler
    (arules), Zementis Inc, Hemant Ishwaran, Udaya B. Kogalur, Rajarshi Guha,
    Dmitriy Bolotov
Maintainer: Tridivesh Jena <rpmmlsupport@zementis.net>
Depends: XML
Suggests: ada, amap, arules, gbm, glmnet, neighbr, nnet, rpart,
        randomForestSRC, randomForest, kernlab, e1071, testthat,
        survival, xgboost, pmmlTransformations(>= 1.3.1)
Imports: methods, stats, utils, stringr
License: GPL (>= 2.1)
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 Hive).
URL: http://zementis.com/
NeedsCompilation: no
LazyData: true
RoxygenNote: 6.0.0
Packaged: 2017-02-27 09:21:28 UTC; tjena
Repository: CRAN
Date/Publication: 2017-02-27 10:58:20