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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 You can use the Conda Environment Propagation to manage your R version via Minicondahttps://kni.me/w/119aEydIH0oCdht8Meta Collection about KNIME and Python (to see how to set up a Miniconda environment)https://hub.knime.com/mlauber71/spaces/Public/latest/_knime_and_python_meta_collection~AvjrddXKOIoZYLV3 https://anaconda.org/conda-forge/r-pmmlconda install -c conda-forge r-pmml https://anaconda.org/r/r-pmmlconda install -c r r-pmmlconda update --allhttps://anaconda.org/conda-forge/r-xmlconda install -c conda-forge r-xml Propagate R environmentfor KNIME on MacOS withMinicondaconfigure how to handle the environmentdefault = just check the names=> Targetsplitstandard rpartrelevel(knime.in$Target, ref = "setosa") to PMMLpredictpredict with stored PMMLto PMMLpredict relevelPropagate R environmentfor KNIME on Windows withMinicondaconfigure how to handle the environmentdefault = just check the namesmodel.pmmlpredict with stored modelmodel.zipmodel.zipmodel.pmmlmodel_relevel.pmmlmodel_relevel.pmmliris.table knime_r_environment Column Rename Partitioning R Learner R Learner R To PMML PMML Predictor PMML Predictor R To PMML PMML Predictor knime_r_environment_windows PMML Writer R Predictor Model Writer Model Reader PMML Reader PMML Reader PMML Writer Table Reader Simple example to make a random forest (rpart) model with R in KNIME using the iris dataset. And saving an reusing the model with PMML You can use the Conda Environment Propagation to manage your R version via Minicondahttps://kni.me/w/119aEydIH0oCdht8Meta Collection about KNIME and Python (to see how to set up a Miniconda environment)https://hub.knime.com/mlauber71/spaces/Public/latest/_knime_and_python_meta_collection~AvjrddXKOIoZYLV3 https://anaconda.org/conda-forge/r-pmmlconda install -c conda-forge r-pmml https://anaconda.org/r/r-pmmlconda install -c r r-pmmlconda update --allhttps://anaconda.org/conda-forge/r-xmlconda install -c conda-forge r-xml Propagate R environmentfor KNIME on MacOS withMinicondaconfigure how to handle the environmentdefault = just check the names=> Targetsplitstandard rpartrelevel(knime.in$Target, ref = "setosa") to PMMLpredictpredict with stored PMMLto PMMLpredict relevelPropagate R environmentfor KNIME on Windows withMinicondaconfigure how to handle the environmentdefault = just check the namesmodel.pmmlpredict with stored modelmodel.zipmodel.zipmodel.pmmlmodel_relevel.pmmlmodel_relevel.pmmliris.table knime_r_environment Column Rename Partitioning R Learner R Learner R To PMML PMML Predictor PMML Predictor R To PMML PMML Predictor knime_r_environment_windows PMML Writer R Predictor Model Writer Model Reader PMML Reader PMML Reader PMML Writer Table Reader

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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: 2024-04-18
Created with KNIME version: v4.5.2
Tags: machine learningknimerrpartpmml

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