Release v0.0.4

deterministic_data

• Support non-positive input value for pad_up_to_batches.
• Support padding dataset when data dimension is unknown.
• Support TFDS specs in get_read_instruction_for_host.
• Allow changing drop_remainder for batching.
• Add RemainderOptions in deterministic_data.

metric_writers

• Support multiple writers in metric_writers.ensure_flushes.

metrics

• Makes internal.flatten_dict() work with ConfigDicts.
• Forwards mask model output to metrics created via Metric.from_output().
• Forwards mask model output to metrics created via Metric.from_fun().
• Added Collections.unreplicate(), Collections.create().

periodic_actions

• Formats long time strings in '{days}d{hours}h{mins}m' format.

preprocess_spec

• Make feature description of features in PreprocessFn more compact.
• Better type check in preprocess_spec.get_all_ops().

Documentation:

• Added clu_synopsis.ipynb Colab