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DL Python Network Executor

Analytics Integrations Deep Learning Python
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This node allows custom execution of a (Python compatible) deep learning network in a local Python installation via a user-defined script. The path to the Python executable has to be configured in Preferences → KNIME → Python. It also allows to import Jupyter notebooks as Python modules via the knime_jupyter module that is part of the Python workspace.

Node details

Input ports
  1. Type: DLPythonNetworkPortObject
    Deep Learning Network
    The trained deep learning network. Referred to as input_network in the Python script. Can be any deep learning network which can be used in Python.
  2. Type: Table
    Data Table
    The input table. Referred to as input_table in the Python script, where it is a pandas.DataFrame.
Output ports
  1. Type: Table
    Data Table
    The output table. This is the content of the variable output_table which has to be defined in the script and has to be a pandas.DataFrame in order for this node to execute successfully.

Extension

The DL Python Network Executor node is part of this extension:

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