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017101_​Spark_​MLlib_​Decision_​Tree

017101_Spark_MLlib_Decision_Tree
Machine Learning on Hadoop Description:This workflow demonstrates the usage of the Spark MLlib Decision Tree Learner and Spark Predictor. It alsodemonstrates the conversion of categorical columns into numerical columns which is necessary since the MLlibalgorithms only support numerical features and labels.Requirements:- KNIME Analytics Platform + KNIME Extension for Apache Spark + KNIME Extensions for Local Big Data EnvironmentsFor details see https://www.knime.com/knime-extension-for-apache-sparkCreated with KNIME 3.7 on 25/02/2019 training datatest dataKNIME tableto RDDKNIME tableto RDDNode 284File Reader File Reader Spark CategoryTo Number Spark Decision TreeLearner (MLlib) Spark Predictor(MLlib) Spark Number ToCategory (Apply) Spark Scorer Table to Spark Table to Spark Create Local BigData Environment Machine Learning on Hadoop Description:This workflow demonstrates the usage of the Spark MLlib Decision Tree Learner and Spark Predictor. It alsodemonstrates the conversion of categorical columns into numerical columns which is necessary since the MLlibalgorithms only support numerical features and labels.Requirements:- KNIME Analytics Platform + KNIME Extension for Apache Spark + KNIME Extensions for Local Big Data EnvironmentsFor details see https://www.knime.com/knime-extension-for-apache-sparkCreated with KNIME 3.7 on 25/02/2019 training datatest dataKNIME tableto RDDKNIME tableto RDDNode 284File Reader File Reader Spark CategoryTo Number Spark Decision TreeLearner (MLlib) Spark Predictor(MLlib) Spark Number ToCategory (Apply) Spark Scorer Table to Spark Table to Spark Create Local BigData Environment

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Created by: koetter
Created at: 2015-05-27
On NodePit since: 2019-09-23
Last update: 2020-03-23
Created with KNIME version: v4.0.1
Tags: Big DataEducation

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