[1.17.4]

[1.17.4]

Added

• Added a flag --fixed-param-names to prevent certain parameters from being optimized during training.
  This is useful if you want to keep pre-trained embeddings fixed during training.
• Added a flag --dry-run to sockeye.train to not perform any actual training, but print statistics about the model
  and mode of operation.

[1.17.3]

Changed

• sockeye.evaluate can now handle multiple hypotheses files by simply specifying --hypotheses file1 file2....
  For each metric the mean and standard deviation will be reported across files.

[1.17.2]

Added

• Optionally store the beam search history to a json output using the beam_store output handler.

Changed

• Use stack operator instead of expand_dims + concat in RNN decoder. Reduces memory usage.

[1.17.1]

Changed

• Updated to MXNet 1.1.0