nlp_language_detector_dl_pretrained: Load a pretrained Spark NLP LanguageDetectorDL model

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

Load a pretrained Spark NLP LanguageDetectorDL model

Description

Create a pretrained Spark NLP LanguageDetectorDL model

Usage

nlp_language_detector_dl_pretrained(
  sc,
  input_cols,
  output_col,
  alphabet = NULL,
  coalesce_sentences = NULL,
  language = NULL,
  threshold = NULL,
  threshold_label = NULL,
  name = NULL,
  lang = NULL,
  remote_loc = NULL
)

Arguments

sc	A Spark connection
input_cols	Input columns. String array.
output_col	Output column. String.
alphabet	alphabet used to feed the TensorFlow model for prediction (Map of string to integer) This should be an R environment
coalesce_sentences	If sets to true the output of all sentences will be averaged to one output instead of one output per sentence. (boolean)
language	used to map prediction to two-letter (ISO 639-1) language codes (Map of string to integer) This should be an R environment
threshold	The minimum threshold for the final result otheriwse it will be either Unknown or the value set in thresholdLabel.
threshold_label	In case the score of prediction is less than threshold, what should be the label.
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.