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Connects directly to the Python Bridge, to send text or sections of the interpretation graph to be processed by ML algorithms in Python.
If authentication is needed to connect to the Python Bridge, enable the "Authenticate" checkbox and enter the Service username and password as below:
If authentication is not required or authentication is successful, select Model Name, Version and/or Method then click on the Save button:
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Parameter summary URL for the host where Python Bridge is running. default localhost name Service Hostname required true Parameter summary Port where Python Bridge is running. default 5000 name Service Port required true Parameter summary Whether or not to use authentication for the python bridge default false name Authentication type boolean required true Parameter summary Username to connect to the Python Bridge name Service Username Parameter summary Password to connect to the Python Bridge name Service Password Parameter summary Model name registered in the python bridge. name Select Model required true Parameter summary Model version registered in the python wrapper to query. name Select Version Parameter summary Model method to call for the model. name Select Model Method required true
Configuration
Parameter summary List of tags to be dependent for the model. Execute after these tags. name Dependency tags type string array Parameter summary Tags (flagged as SEMANTIC_TAG) are normalized. default false name Normalize Tags type boolean Parameter summary Includes up to two fields in the metadata of the new tag, the values are "before" and "after". default false name Include Context type boolean Parameter summary Vertex text such as colon and comma will be included as a token in the response default false name Include vertex text as token type boolean Parameter summary Vertex flags Vertices are skipped ignored when processing the lexical items name Skip vertex flags
General Settings
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Overview
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