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pmml (version 1.5.7)

Generate PMML for Various Models

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").

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Version

Install

install.packages('pmml')

Monthly Downloads

2,308

Version

1.5.7

License

GPL (>= 2.1)

Maintainer

Tridivesh Jena

Last Published

January 25th, 2019

Functions in pmml (1.5.7)

addMSAttributes

adds attribute values to an existing MiningField element in a given PMML file
pmml.hclust

Generate PMML for hclust objects
pmml.rpart

Generate PMML for rpart objects
pmml.iForest

Generate PMML for an iForest object from the isofor package.
pmml.rfsrc

Generate PMML for rfsrc objects
functionToPMML

Convert an R expression to PMML.
audit

Artificially constructed dataset
fileToXMLNode

Reads in a file and tries to parse it into an object of type XMLNode
pmml.ada

Generate PMML for ada objects
pmml.rules

Generate PMML for arules objects
houseVotes84

Modified 1984 United States Congressional Voting Records Database
pmml.lm

Generate PMML for lm objects
pmml.gbm

Generate PMML for genralized boosting tree objects
pmml.glm

Generate PMML for glm objects
pmml.nnet

Generate PMML for nnet objects
pmml.randomForest

Generate PMML for randomForest objects
pmmlCanExport

Can this installation export PMML variables (particularly transforms).
pmmltoc

Generate C code from a PMML object - dummy function
addDFChildren

adds 'Interval' and 'Value' child elements to a given DataField element in a given PMML file
addLT

adds a LocalTransformations element to a given PMML file.
makeValues

Create Values element, most likely to add to a DataDictionary element
pmml

Generate PMML for R objects
pmml.coxph

Generate PMML for coxph objects
pmml.cv.glmnet

Generate PMML for glmnet objects
AddAttributes

adds attribute values to an existing element in a given PMML file
pmml.naiveBayes

Generate PMML for naiveBayes objects
pmml.neighbr

Generate PMML for a neighbr object from the neighbr package.
addDDAttributes

adds attribute values to an existing DataField element in a given PMML file
pmml.kmeans

Generate PMML for kmeans objects
pmml.multinom

Generate PMML for multinom objects
pmml.ksvm

Generate PMML for ksvm objects
pmml.svm

Generate the PMML representation of an svm object from the e1071 package.
makeIntervals

Create Interval elements, most likely to add to a DataDictionary element
pmml.xgb.Booster

Generate PMML for a xgb.Booster object from the xgboost package
savePMML

saves a xml object as an external PMML file.
makeOutputNodes

Add Output nodes to a PMML object.
addOutputField

Add Output nodes to a PMML object.