ft_discrete_cosine_transform

0th

Percentile

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 = NULL, output_col = NULL, 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?
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_elementwise_product, ft_index_to_string, ft_one_hot_encoder, ft_quantile_discretizer, ft_sql_transformer, ft_string_indexer, ft_vector_assembler, sdf_mutate

Aliases
  • ft_discrete_cosine_transform
Documentation reproduced from package sparklyr, version 0.3.4, License: file LICENSE

Community examples

Looks like there are no examples yet.