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Load and apply Python model in KNIME

The workflow snippet demonstrates how to load and apply a model, which was created and trained in Python, in KNIME. The Conda Environment Propagation node provides the correct environment with the required packages. With the Python Object Reader node we can load the pickled model into KNIME. In the Python Predictor node we simply apply the model on the data from the Table Reader node.

This workflow loads a pickled model from Python into KNIME and applies the model on newdata. load pickledML modelapply ML model Python ObjectReader Python Predictor Conda EnvironmentPropagation Table Reader This workflow loads a pickled model from Python into KNIME and applies the model on newdata. load pickledML modelapply ML modelPython ObjectReader Python Predictor Conda EnvironmentPropagation 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: janinamothes
Created at: 2022-01-10
On NodePit since: 2022-02-11
Last update: 2024-04-30
Created with KNIME version: v4.5.1
Tags: Workflow snippetPythonpickle objectrandom forest

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