This workflow is a simple example of using the Components Python Transform and Python Transform (Apply) The Component Python Transform uses KNIME Python Integration for normalisation of columns in trainset and outputs them along with the pickled file containing the preprocessing object. The Component Python Transform (Apply) can be used to perform the normalisation on the test set as per the parameters passed on by the pickled object The pickled file can also be written to specific location and used in Production workflow by loading the pickled file using the Python Transform(Load) Component which can further be connected to Python Transform(Apply) Component to get transformed data.
Used extensions & nodes
Created with KNIME Analytics Platform version 4.4.0 Note: Not all extensions may be displayed.
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