nlp_assertion_dl_pretrained: Load a pretrained Spark NLP Assertion DL model

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

Load a pretrained Spark NLP Assertion DL model

Description

Create a pretrained Spark NLP AssertionDLModel model

Usage

nlp_assertion_dl_pretrained(
  sc,
  input_cols,
  output_col,
  batch_size = NULL,
  scope_window = NULL,
  max_sent_len = NULL,
  storage_ref = NULL,
  name = NULL,
  lang = NULL,
  remote_loc = NULL
)

Arguments

sc	A Spark connection
input_cols	Input columns. String array.
output_col	Output column. String.
batch_size	Parameter, which regulates the size of the batch
scope_window	The scope window of the assertion (whole sentence by default)
max_sent_len	Parameter, which regulates the length of the longest sentence
storage_ref	storage reference for embeddings
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.