The PCA class defines a wrapper function that uses the Aster Spark API and implements the Spark MLlib PCA algorithm. It derives from the base class AsterSparkFunctionDR.
Run Method Signature
run(input: RDD[DataRow], sparkFunctParams: String): RDD[DataRow]
Parameters
Number of components.
Returns
Transformation of the input after applying PCA.
Version
Spark 1.3 and later.