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Connects directly to the Python Bridge, to send text or sections of the interpretation graph to be process processed by ML algorithms in Python |
Operates On: Lexical Items with TOKEN and TEXT_BLOCK.
Saga_is_recognizer
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The difference between this and the Python Model Stage is that this stage does requires to be associated to a tag |
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Saga_config_stage | ||
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"dependencyTags": [], "includeContext": false, "modelName": "lsi", "modelVersion": "1", "modelMethod": "predict", "normalizeTags": false, "hostname": "localhost", "port": 5000 |
Saga_graph |
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V----[THOMAS B. SEEKER]-----V-------[1234 Northern Star Circle]-------V-------[Baltimore, MD 12345]--------V ^---[THOMAS B]---V-[SEEKER]-^-[1234]-V-[Northern]-V-[Star]-V-[Circle]-^---[Baltimore,]----V-[MD]-V-[12345]-^ ^-[THOMAS]-V-[B]-^ ^-[northern]-^-[star]-^-[circle]-^-[Baltimore]-V-[,]-^-[md]-^ ^ ^-[thomas]-^-[b]-^-[SEEKER]-^-----------------[{lsi}]-----------------^---[baltimore,]----^ ^ ^----[{lsi}]-----^-[seeker]-^ ^-[baltimore]-^ ^ ^-[{lsi}]--^ ^--------------[{lsi}]---------------^ |