For more details and for a complete list of supported model types (as well as data pre-processing), click HERE.
Thursday, March 21, 2013
R PMML Support: BetteR than EveR
Once represented as a PMML file, a predictive solution (data transformations + model) can be readily moved into the operational environment where it can be put to work immediately. That's the promise of PMML.
R is living up to that promise through its strong PMML export capabilities. The latest addition to the list of supported model types is Naive Bayes classifiers. More specifically, the R PMML package allows for PMML export for Naive Bayes models built using the naiveBayes function of the e1071 package.
For more details and for a complete list of supported model types (as well as data pre-processing), click HERE.
For more details and for a complete list of supported model types (as well as data pre-processing), click HERE.
Labels:
Model Deployment,
Naive Bayes,
PMML,
Predictive Model Markup Language,
R
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