ML functions for Column operations
column_ml_functions.Rd
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
if (FALSE) {
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"))
)
)
}