ft_discrete_cosine_transform
From sparklyr v0.6.4
by Javier Luraschi
Feature Transformation -- Discrete Cosine Transform (DCT)
Transform a column in the time domain into another column in the frequency domain.
Usage
ft_discrete_cosine_transform(x, input.col, output.col, inverse = FALSE, ...)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.
- inverse
Perform inverse DCT?
- ...
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_elementwise_product,
ft_index_to_string,
ft_one_hot_encoder,
ft_quantile_discretizer,
ft_regex_tokenizer,
ft_stop_words_remover,
ft_string_indexer,
ft_tokenizer,
ft_vector_assembler,
sdf_mutate
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