ft_stop_words_remover

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Feature Tranformation -- StopWordsRemover

A feature transformer that drops all the stop words from the input sequence.

Usage
ft_stop_words_remover(x, input.col, output.col, ...)
Arguments
x

An object (usually a spark_tbl) coercable to a Spark DataFrame.

input.col

The name of the input column(s).

output.col

The name of the output column.

...

Optional arguments; currently unused.

See Also

See http://spark.apache.org/docs/latest/ml-features.html for more information on the set of transformations available for DataFrame columns in Spark.

Other feature transformation routines: ft_binarizer, ft_bucketizer, ft_count_vectorizer, ft_discrete_cosine_transform, ft_elementwise_product, ft_index_to_string, ft_one_hot_encoder, ft_quantile_discretizer, ft_regex_tokenizer, ft_string_indexer, ft_tokenizer, ft_vector_assembler, sdf_mutate

Aliases
  • ft_stop_words_remover
Documentation reproduced from package sparklyr, version 0.6.3, License: Apache License 2.0 | file LICENSE

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