There are 96 nodes that can be used as predessesor for a node with an input port of type Spark Context.
Assigns data to a set of prototypes.
K-means model learning performed in Spark.
Principal component analysis (PCA) in Spark.
Principal component analysis (PCA) in Spark.
Singular value decomposition (SVD) in Spark.
Apply association rules in Apache Spark.
Find frequent item sets and learn association rules in Spark.
Find frequent item sets using FP-Growth in Spark.
Executes the scoring code generated by the PMML Compiler node on Apache Spark.
Executes the PMML model on Apache Spark.
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Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.