Release 0.21.0

Release 0.21.0

Major Features and Improvements

• Added a new version of the census example to demonstrate usage in TF 2.0.
• New mapper estimated_probability_density to compute either exact
  probabilities (for discrete categorical variable) or approximate density over
  fixed intervals (continuous variables).
• New analyzers count_per_key and histogram to return counts of unique
  elements or values within predefined ranges. Calling tft.histogram on
  non-categorical value will assign each data point to the appropriate fixed
  bucket and then count for each bucket.
• Provided capability for per-key analyzers to analyze larger sets of keys that
  would not fit in memory, by storing the key-value pairs in vocabulary files.
  This is enabled by passing a per_key_filename to
  tft.scale_by_min_max_per_key and tft.scale_to_0_1_per_key.

Bug Fixes and Other Changes

• Added beam counters to log analyzer and mapper usage.
• Cleanup deprecated APIs used in census and sentiment examples.
• Support windows style paths in analyzer_cache.
• tft_beam.WriteTransformFn and tft_beam.WriteMetadata have been made
  idempotent to allow retrying them in case of a failure.
• tft_beam.WriteMetadata takes an optional argument write_to_unique_subdir
  and returns the path to which metadata was written. If
  write_to_unique_subdir is True, metadata is written to a unique subdirectory
  under path, otherwise it is written to path.
• Support non utf-8 characters when reading vocabularies in
  tft.TFTransformOutput
• tft.TFTransformOutput.vocabulary_by_name now returns bytes instead of str
  with python 3.

Breaking changes

Deprecations