Generate PMML for Various Models
Add attribute values to an existing element in a given PMML file.
Add attribute values to an existing DataField element in a given PMML ...
Add 'Interval' and 'Value' child elements to a given DataField element...
Add attribute values to an existing MiningField element in a given PMM...
Add Output nodes to a PMML object.
Read in a file and parse it into an object of type XMLNode.
Convert an R expression to PMML.
Create Interval elements, most likely to add to a DataDictionary eleme...
Add Output nodes to a PMML object.
Create Values element, most likely to add to a DataDictionary element.
pmml: Generate PMML for R Models
Generate the PMML representation for an ada object from the package `a...
Generate PMML for an ARIMA object the forecast package.
Generate the PMML representation for a coxph object from the package `...
Generate the PMML representation for a cv.glmnet object from the packa...
Generate the PMML representation for a gbm object from the package `gb...
Generate the PMML representation for a glm object from the package `st...
Generate the PMML representation for a hclust object from the package ...
Generate PMML for an iForest object from the isofor package.
Generate the PMML representation for a kmeans object from the package ...
Generate the PMML representation for a ksvm object from the package `k...
Generate the PMML representation for an lm object from the package `st...
Generate the PMML representation for a multinom object from package `n...
Generate the PMML representation for a naiveBayes object from the pack...
Generate PMML for a neighbr object from the neighbr package.
Generate the PMML representation for a nnet object from package nnet...
Generate the PMML representation for a randomForest object from the pa...
Generate the PMML representation for R objects.
Generate the PMML representation for an rpart object from the package ...
Generate the PMML representation for a rules or an itemset object from...
Generate the PMML representation of an svm object from the e1071 pac...
Generate PMML for a xgb.Booster object from the package xgboost.
Rename a variable in the xform_wrap transform object.
Save a pmml object as an external PMML file.
Discretize a continuous variable as indicated by interval mappings in ...
Add a function transformation to a xform_wrap object.
Implement a map between discrete values in accordance with the PMML el...
Normalize continuous values in accordance with the PMML element NormCo...
Normalize discrete values in accordance with the PMML element NormDisc...
Wrap data in a data transformations object.
Perform a z-score normalization on continuous values in accordance wit...
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://dmg.org/>. The generated PMML can be imported into any PMML consuming application, such as Zementis Predictive Analytics products. The package isofor (used for anomaly detection) can be installed with devtools::install_github("gravesee/isofor").
Useful links