This vignette lists the packages and model types supported by pmml, as well as data transformations and functions that extend the basic exporter functionality.
This package supports the following packages and model types are supported:
neighbr
naiveBayes
nnet
ada
gbm
with “bernoulli”, “poisson”, and “multinomial” distribution typesrandomForest
randomSurvivalForest
rpart
xgb.Booster
with “multi:softprob”, “multi:softmax”, and “binary:logistic” objectivesThe following functions are used to transform input data.
The general methodology is to first wrap the data with xform_wrap, and then perform transformations using the above functions.
The following functions allow additional operations, such as creating specific nodes and adding attributes. For more information, check the documentation for each function.