View source: R/recursive-tokenizer.R
nlp_recursive_tokenizer | R Documentation |
Spark ML model that tokenizes See https://nlp.johnsnowlabs.com/api/index#com.johnsnowlabs.nlp.annotators.RecursiveTokenizer
nlp_recursive_tokenizer( x, input_cols, output_col, infixes = NULL, prefixes = NULL, suffixes = NULL, white_list = NULL, uid = random_string("recursive_tokenizer_") )
x |
A |
input_cols |
Input columns. String array. |
output_col |
Output column. String. |
infixes |
strings that will be split when found at the middle of a token |
prefixes |
strings that will be split when found at the beginning of a token |
suffixes |
strings that will be split when found at the end of a token |
white_list |
whitelist |
uid |
A character string used to uniquely identify the ML estimator. |
The object returned depends on the class of x
.
spark_connection
: When x
is a spark_connection
, the function returns an instance of a ml_estimator
object. The object contains a pointer to
a Spark Estimator
object and can be used to compose
Pipeline
objects.
ml_pipeline
: When x
is a ml_pipeline
, the function returns a ml_pipeline
with
the NLP estimator appended to the pipeline.
tbl_spark
: When x
is a tbl_spark
, an estimator is constructed then
immediately fit with the input tbl_spark
, returning an NLP model.
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