Read libsvm file into a Spark DataFrame.

Read libsvm file into a Spark DataFrame.

spark_read_libsvm(sc, name = NULL, path = name, repartition = 0,
  memory = TRUE, overwrite = TRUE, ...)

Arguments

sc

A spark_connection.

name

The name to assign to the newly generated table.

path

The path to the file. Needs to be accessible from the cluster. Supports the "hdfs://", "s3a://" and "file://" protocols.

repartition

The number of partitions used to distribute the generated table. Use 0 (the default) to avoid partitioning.

memory

Boolean; should the data be loaded eagerly into memory? (That is, should the table be cached?)

overwrite

Boolean; overwrite the table with the given name if it already exists?

...

Optional arguments; currently unused.

See also