nlp_relation_extraction_pretrained: Load a pretrained Spark NLP Relation Extraction model

In r-spark/sparknlp: R Interface to John Snow Labs Spark NLP

Load a pretrained Spark NLP Relation Extraction model

Description

Create a pretrained Spark NLP RelationExtractionModel model

Usage

nlp_relation_extraction_pretrained(
  sc,
  input_cols,
  output_col,
  relation_pairs,
  max_syntactic_distance = NULL,
  feature_scaling = NULL,
  prediction_threshold = NULL,
  name = NULL,
  lang = NULL,
  remote_loc = NULL
)

Arguments

sc	A Spark connection
input_cols	Input columns. String array.
output_col	Output column. String.
relation_pairs	List of dash-separated pairs of named entities ("ENTITY1-ENTITY2", e.g. "Biomarker-RelativeDay"), which will be processed
max_syntactic_distance	Maximal syntactic distance, as threshold (Default: 0)
feature_scaling	Feature scaling method.
prediction_threshold	Minimal activation of the target unit to encode a new relation instance (Default: 0.5f)
name	the name of the model to load. If NULL will use the default value
lang	the language of the model to be loaded. If NULL will use the default value
remote_loc	the remote location of the model. If NULL will use the default value

Value

The Spark NLP model with the pretrained model loaded

r-spark/sparknlp documentation built on Oct. 15, 2022, 10:50 a.m.