SparkR (version 3.1.2)

column_ml_functions: ML functions for Column operations

Description

ML functions defined for Column.

Usage

array_to_vector(x)
vector_to_array(x, ...)
# S4 method for Column
array_to_vector(x)
# S4 method for Column
vector_to_array(x, dtype = c("float64", "float32"))

Arguments

x

Column to compute on.

...

additional argument(s).

dtype

The data type of the output array. Valid values: "float64" or "float32".

Details

array_to_vector Converts a column of array of numeric type into a column of dense vectors in MLlib

vector_to_array Converts a column of MLlib sparse/dense vectors into a column of dense arrays.

Examples

# NOT RUN {
df <- read.df("data/mllib/sample_libsvm_data.txt", source = "libsvm")
head(
  withColumn(
    withColumn(df, "array", vector_to_array(df$features)),
    "vector",
    array_to_vector(column("array"))
  )
)
# }