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kn_​example_​r_​iris

Simple example to make a random forest (rpart) model with R in KNIME using the iris dataset. And saving an reusing the model with PMML

Simple example to make a random forest (rpart) model with R in KNIME using the iris dataset. And saving an reusing the model with PMML


Simple example to make a random forest (rpart) model with R in KNIME using the iris dataset. And saving an reusing the model with PMML Medium: KNIME and R — installation across operating systems — some remarkshttps://medium.com/p/6494a2a498ccvery basic R nodes in KNIME - knime.in, knime.out and handle Flow Variableshttps://hub.knime.com/-/spaces/-/~119aEydIH0oCdht8/current-state/ => Targetsplitstandard rpartrelevel(knime.in$Target, ref = "setosa") to PMMLpredictpredict with stored PMMLto PMMLpredict relevelmodel.pmmlpredict with stored modelmodel.zipmodel.zipmodel.pmmlmodel_relevel.pmmlmodel_relevel.pmmliris.table"conda.environment" variablePropagate Python and R environmentfor KNIME on MacOSX (Apple Scilicon)OR Windowswith Miniforge / Minicondaconfigure how to handle the environmentdefault = just check the namesColumn Rename Partitioning R Learner R Learner R To PMML PMML Predictor PMML Predictor R To PMML PMML Predictor PMML Writer R Predictor Model Writer Model Reader PMML Reader PMML Reader PMML Writer Table Reader conda_r_knime Simple example to make a random forest (rpart) model with R in KNIME using the iris dataset. And saving an reusing the model with PMML Medium: KNIME and R — installation across operating systems — some remarkshttps://medium.com/p/6494a2a498ccvery basic R nodes in KNIME - knime.in, knime.out and handle Flow Variableshttps://hub.knime.com/-/spaces/-/~119aEydIH0oCdht8/current-state/ => Targetsplitstandard rpartrelevel(knime.in$Target, ref = "setosa") to PMMLpredictpredict with stored PMMLto PMMLpredict relevelmodel.pmmlpredict with stored modelmodel.zipmodel.zipmodel.pmmlmodel_relevel.pmmlmodel_relevel.pmmliris.table"conda.environment" variablePropagate Python and R environmentfor KNIME on MacOSX (Apple Scilicon)OR Windowswith Miniforge / Minicondaconfigure how to handle the environmentdefault = just check the namesColumn Rename Partitioning R Learner R Learner R To PMML PMML Predictor PMML Predictor R To PMML PMML Predictor PMML Writer R Predictor Model Writer Model Reader PMML Reader PMML Reader PMML Writer Table Reader conda_r_knime

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: m_lauber
Created at: 2019-02-15
On NodePit since: 2020-06-10
Last update: 2024-11-21
Created with KNIME version: v4.7.8
Tags: machine learningknimerrpartpmml

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