chess-tuning-tools 0.7.3 (10 July 2021)

0.7.3 (2021-06-27)

Local tuner

• Add --fast-resume switch to the tuner, which allows instant resume
  functionality from disk (new default).
• Fix the match parser producing incorrect results, when concurrency > 1 is
  used for playing matches.

Distributed tuning framework

• The distributed tuning framework is no longer deprecated.
• Add --run-only-once flag to distributed tuning client. If True, it will
  terminate after completing one job or immediately if no job is found.
• Add --skip-benchmark flag to distributed tuning client. If True, it will
  skip the calibration of the time control, which involves running a benchmark
  for both engines.
• Tuning server of the distributed tuning framework will now also save the
  optimizer object.
• Tuning server now also uses the updated pentanomial model including
  noise estimation.
• warp_inputs can now be passed via database to the tuning server.
• Fix the server for distributed tuning not sorting the data by job id causing
  the model to be fit with randomly permuted scores.
• Fix the server for distributed tuning trying to compute the current optimum
  before a model has been fit.

chess-tuning-tools 0.7.3-rc1 (27 June 2021)

chess-tuning-tools 0.7.3-rc1 (27 June 2021)

Changes

• Add --fast-resume switch to the tuner, which allows instant resume
  functionality from disk (new default).
• Add --run-only-once flag to distributed tuning client. If True, it will
  terminate after completing one job or immediately if no job is found.
• Add --skip-benchmark flag to distributed tuning client. If True, it will
  skip the calibration of the time control, which involves running a benchmark
  for both engines.
• Tuning server of the distributed tuning framework will now also save the
  optimizer object.
• Fix the match parser producing incorrect results, when concurrency > 1 is
  used for playing matches.
• Fix the server for distributed tuning trying to compute the current optimum
  before a model has been fit.