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04_​Parameter_​Optimization_​in_​Spark

Workflow

Mix and match Spark nodes with other KNIME nodes
Parameter OptimizationGrid SearchHillclimbing
Mix and Match Parameter Optimization in Spark This workflow mixes standard KNIME nodes with the Spark nodes to find the optimal parameters for a k-means clustering using the hillclimbing approach. training datatrain model in Spark with k controlled by optimization loope.g. hillclimbinge.g. entropytest dataKNIME tableto DataFrameCache DataFrameprior loopexecution File Reader Spark k-Means Parameter OptimizationLoop Start Spark MLlib to PMML Cluster Assigner ParameterOptimization Loop End Scoring File Reader Table to Spark Persist SparkDataFrame/RDD Create Local BigData Environment Mix and Match Parameter Optimization in Spark This workflow mixes standard KNIME nodes with the Spark nodes to find the optimal parameters for a k-means clustering using the hillclimbing approach. training datatrain model in Spark with k controlled by optimization loope.g. hillclimbinge.g. entropytest dataKNIME tableto DataFrameCache DataFrameprior loopexecutionFile Reader Spark k-Means Parameter OptimizationLoop Start Spark MLlib to PMML Cluster Assigner ParameterOptimization Loop End Scoring File Reader Table to Spark Persist SparkDataFrame/RDD Create Local BigData Environment

Download

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Nodes

04_​Parameter_​Optimization_​in_​Spark consists of the following 13 nodes(s):

Plugins

04_​Parameter_​Optimization_​in_​Spark contains nodes provided by the following 3 plugin(s):