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Simple example to make a random forest model with new Python Scrip in KNIME 4.6 using the iris dataset. Saving and reusing the model with Pickle

Python Machine learning Knime Pickle Scikit-learn
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Simple example to make a random forest model with new Python Scrip in KNIME 4.6 using the iris dataset. Saving and reusing the model with Pickle Also creating some graphics and exporting them to disk. Via Python code or via KNIME ports. It is not really necessary to do all this with the colourful ports, just to check how it does work using bundled Python version (no additional Python installation necessary)

External resources

  • KNIME and Jupyter notebooks and .PY modules
  • KNIME columnar storage
  • Pandas Tutor visualizes how your Python code transforms dataframes
  • (forum.knime.com) RUNNING KNIME USING PYTHON [KNIMEPY]
  • Meta Collection about KNIME and Python
  • Python & KNIME (the official guide)

Used extensions & nodes

Created with KNIME Analytics Platform version 4.7.0
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Expressions Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Extension for Big Data File Formats Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Python 2 Integration (legacy) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
  • Go to item
    KNIME Python Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
  • Go to item
    KNIME SVG Support Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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