There are 76 nodes that can be used as predessesor for a node with an input port of type PMML.
Group numeric data into equidistant intervals - called bins.
Group numeric data into manually defined intervals - called bins.
Converts a given R object into a corresponding PMML object.
Converts a given R object into a corresponding PMML object.
Maps nominal columns to double column
Normalizes the attributes of a Spark DataFrame/RDD.
Filters or replaces missing values.
Converts supported Spark MLlib models to PMML model.
Maps each category of a column with nominal data to an integer.
This node allows to group numeric data in intervals - called bins.
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