This workflow demonstrate modification needed for a workflow to be called externally, such as Jupyter, by a classic classification problem on the iris dataset using the k-Nearest Neighbor (kNN) algorithm.
It exposes a data input entrypoint and a data output node for external data flow in and out.
Workflow
Classification of the iris data using kNN from Jupyter
External resources
Used extensions & nodes
Created with KNIME Analytics Platform version 4.3.3
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