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dataset_unbatch()dataset_group_by_window()dataset_take_while()as_tensor() and as.array() methods
which can be used on TF Datasets with a single element.as_iterator(), iter_next() and
iterate() are is now reexported from {reticualte}.as_array_iterator(), for converting a dataset into
an iterable that yields R arrays. (as_iterator() yields
tensorflow tensors)dataset_bucket_by_sequence_length()dataset_rejection_resample()dataset_unique()choose_from_datasets()sample_from_datasets() gains argument
stop_on_empty_dataset.dataset_batch() gains arguments
num_parallel_calls and deterministic.dataset_padded_batch(): Fixed error raised when
drop_remainder=TRUE with recent TF versions. Added
examples, docs, and tests.dataset_concatenate() gains ... and the
ability to combine multiple datasets in one call.dataset_options() for setting and getting dataset
options.length() method for tensorflow datasets.dataset_enumerate().random_integer_dataset().dataset_scan(), a stateful variant of
dataset_map().dataset_snapshot() for persisting the output of a
dataset to disk.range_dataset() gains a dtype
argument.dataset_prefetch() argument buffer_size is
now optional, defaults to tf$data$AUTOTUNEdatatset_window method.purrr style lambda functions in
dataset_map.NEWS.md file to track changes to the
package.feature_columns. (#42)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.