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Excerpt

Connects directly to the Python Bridge, to send text or sections of the interpretation graph to be processed by ML algorithms in Python

Info

Uses Python Model Stage

Configuration

  • Parameter
    summaryPython server communication hostname
    defaultlocalhost
    nameService Hostname
    requiredtrue
  • Parameter
    summaryPython server communication port
    default5000
    nameService Port
    typeinteger
    requiredtrue
  • Parameter
    summaryModel name registered in the python bridge
    defaultlsi
    nameSelect Model
    requiredtrue
  • Parameter
    summaryModel version registered in the python wrapper to query
    nameSelect Version
    requiredtrue
  • Parameter
    summaryModel method to call for the model
    nameService Model Method
    requiredtrue
  • Parameter
    summaryNumber of connection retries.
    default3
    nameRetries
    typeinteger
    requiredtrue

Settings

Image Added

  • Include Vertex Text as Token (optional) 

Image AddedImage Removed

  • Normalize Tags (optional) - Tags List of tags written in here (flagged as SEMANTIC_TAG) are normalized. Whenever a tag has field (metadata) named "display" its value is used to normalize the tag, if the tag does not have "display" value then the name of tag is used, e.g. {costumer} = costumer.

  • Include Context (optional) - Includes up to two fields in the metadata of the new tag, the values are "before" and "after". The "before" value includes previous blocks (or lines) from the current text being processed, using the "Boundary Flags" from the general settings to delimit the blocks, existing in the current graph, up to 2 blocks if possible. The "after" field include up to two blocks after the processed text.

  • Skip Vertex Flags (optional) - List of flags used to skip blocks (or lines) that should not be process by the stage.  The flagged vertex marks the start of the block and the end is set by the "Boundary Flags" value in the settings.

General Settings

Include Page
Generic Processor Config
Generic Processor Config