make_libsvm_dataset: Create a Dataset from LibSVM files.
In tfio: Interface to 'TensorFlow IO'

Create a Dataset from LibSVM files.

make_libsvm_dataset(
  file_names,
  num_features,
  dtype = NULL,
  label_dtype = NULL,
  batch_size = 1,
  compression_type = "",
  buffer_size = NULL,
  num_parallel_parser_calls = NULL,
  drop_final_batch = FALSE,
  prefetch_buffer_size = 0
)

`file_names`	A `tf.string` tensor containing one or more filenames.
`num_features`	The number of features.
`dtype`	The type of the output feature tensor. Default to `tf.float32`.
`label_dtype`	The type of the output label tensor. Default to `tf.int64`.
`batch_size`	An integer representing the number of records to combine in a single batch, default 1.
`compression_type`	A `tf.string` scalar evaluating to one of `""` (no compression), `"ZLIB"`, or `"GZIP"`.
`buffer_size`	A `tf.int64` scalar denoting the number of bytes to buffer. A value of 0 results in the default buffering values chosen based on the compression type.
`num_parallel_parser_calls`	Number of parallel records to parse in parallel. Defaults to an automatic selection.
`drop_final_batch`	Whether the last batch should be dropped in case its size is smaller than `batch_size`; the default behavior is not to drop the smaller batch.
`prefetch_buffer_size`	An integer specifying the number of feature batches to prefetch for performance improvement. Defaults to auto-tune. Set to 0 to disable prefetching.