pmml

Generate PMML for Various Models

The Predictive Model Markup Language (PMML) is an XML-based language which provides a way for applications to define machine learning, statistical and data mining models and to share models between PMML compliant applications. More information about the PMML industry standard 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 Zementis Predictive Analytics products, which integrate with web services, relational database systems and deploy natively on Hadoop in conjunction with Hive, Spark or Storm, as well as allow predictive analytics to be executed for IBM z Systems mainframe applications and real-time, streaming analytics platforms. The package isofor (used for anomaly detection) can be installed with devtools::install_github("Zelazny7/isofor").

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Description file content

Package
pmml
Type
Package
Title
Generate PMML for Various Models
Version
1.5.7
Author
Graham Williams, Tridivesh Jena, Wen Ching Lin, Michael Hahsler (arules), Software AG, Hemant Ishwaran, Udaya B. Kogalur, Rajarshi Guha, Dmitriy Bolotov
Maintainer
Tridivesh Jena
Depends
XML
Suggests
ada, amap, arules, gbm, glmnet, neighbr, nnet, rpart, randomForestSRC (<= 2.5.0), randomForest, kernlab, e1071, testthat, survival, xgboost, pmmlTransformations(>= 1.3.1), knitr, rmarkdown
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 machine learning, statistical and data mining models and to share models between PMML compliant applications. More information about the PMML industry standard and the Data Mining Group can be found at . The generated PMML can be imported into any PMML consuming application, such as Zementis Predictive Analytics products, which integrate with web services, relational database systems and deploy natively on Hadoop in conjunction with Hive, Spark or Storm, as well as allow predictive analytics to be executed for IBM z Systems mainframe applications and real-time, streaming analytics platforms. The package isofor (used for anomaly detection) can be installed with devtools::install_github("Zelazny7/isofor").
URL
NeedsCompilation
no
RoxygenNote
6.1.1
VignetteBuilder
knitr
Packaged
2019-01-24 23:06:57 UTC; dmitriy
Repository
CRAN
Date/Publication
2019-01-25 07:30:03 UTC

install.packages('pmml')

1.5.7

3 months ago

https://www.softwareag.com/zementis

Tridivesh Jena

GPL (>= 2.1)

Depends on

XML

Imports

methods, stats, utils, stringr

Suggests

ada, amap, arules, gbm, glmnet, neighbr, nnet, rpart, randomForestSRC (<= 2.5.0), randomForest, kernlab, e1071, testthat, survival, xgboost, pmmlTransformations(>= 1.3.1), knitr, rmarkdown

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