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v0.5.0 - 2021-12-13

This release adds support for Python 3.9, and updates dependencies to accept the latest versions when possible.

Issues closed

  • Add support for Python 3.9 - Issue #127 by @katxiao
  • Add pip check worflow - Issue #124 by @pvk-developer
  • Fix meta.yaml dependencies - PR #119 by @fealho
  • Upgrade dependency ranges - Issue #118 by @katxiao

v0.4.1 - 2021-08-20

This release fixed a bug where passing a json file as configuration for a multi-table synthesizer crashed the model. It also adds a number of fixes and enhancements, including: (1) a function and CLI command to list the available synthesizer names, (2) a curate set of dependencies and making Gretel into an optional dependency, (3) updating Gretel to use temp directories, (4) using nvidia-smi to get the number of gpus and (5) multiple dockerfile updates to improve functionality.

Issues closed

  • Bug when using JSON configuration for multiple multi-table evaluation - Issue #115 by @pvk-developer
  • Use nvidia-smi to get number of gpus - PR #113 by @katxiao
  • List synthesizer names - Issue #82 by @fealho
  • Use nvidia base for dockerfile - PR #108 by @katxiao
  • Add Makefile target to install gretel and ydata - PR #107 by @katxiao
  • Curate dependencies and make Gretel optional - PR #106 by @csala
  • Update gretel checkpoints to use temp directory - PR #105 by @katxiao
  • Initialize variable before reference - PR #104 by @katxiao

v0.4.0 - 2021-06-17

This release adds new synthesizers for Gretel and ydata, and creates a Docker image for SDGym. It also includes enhancements to the accepted SDGym arguments, adds a summary command to aggregate metrics, and adds the normalized score to the benchmark results.

New Features

  • Add normalized score to benchmark results - Issue #102 by @katxiao
  • Add max rows and max columns args - Issue #96 by @katxiao
  • Automatically detect number of workers - Issue #97 by @katxiao
  • Add summary function and command - Issue #92 by @amontanez24
  • Allow jobs list/JSON to be passed - Issue #93 by @fealho
  • Add ydata to sdgym - Issue #90 by @fealho
  • Add dockerfile for sdgym - Issue #88 by @katxiao
  • Add Gretel to SDGym synthesizer - Issue #87 by @amontanez24

v0.3.1 - 2021-05-20

This release adds new features to store results and cache contents into an S3 bucket as well as a script to collect results from a cache dir and compile a single results CSV file.

Issues closed

  • Collect cached results from s3 bucket - Issue #85 by @katxiao
  • Store cache contents into an S3 bucket - Issue #81 by @katxiao
  • Store SDGym results into an S3 bucket - Issue #80 by @katxiao
  • Add a way to collect cached results - Issue #79 by @katxiao
  • Allow reading datasets from private s3 bucket - Issue #74 by @katxiao
  • Typos in the sdgym.run function docstring documentation - Issue #69 by @sbrugman

v0.3.0 - 2021-01-27

Major rework of the SDGym functionality to support a collection of new features:

  • Add relational and timeseries model benchmarking.
  • Use SDMetrics for model scoring.
  • Update datasets format to match SDV metadata based storage format.
  • Centralize default datasets collection in the sdv-datasets S3 bucket.
  • Add options to download and use datasets from different S3 buckets.
  • Rename synthesizers to baselines and adapt to the new metadata format.
  • Add model execution and metric computation time logging.
  • Add optional synthetic data and error traceback caching.

v0.2.2 - 2020-10-17

This version adds a rework of the benchmark function and a few new synthesizers.

New Features

  • New CLI with run, make-leaderboard and make-summary commands
  • Parallel execution via Dask or Multiprocessing
  • Download datasets without executing the benchmark
  • Support for python from 3.6 to 3.8

New Synthesizers

  • sdv.tabular.CTGAN
  • sdv.tabular.CopulaGAN
  • sdv.tabular.GaussianCopulaOneHot
  • sdv.tabular.GaussianCopulaCategorical
  • sdv.tabular.GaussianCopulaCategoricalFuzzy

v0.2.1 - 2020-05-12

New updated leaderboard and minor improvements.

New Features

  • Add parameters for PrivBNSynthesizer - Issue #37 by @csala

v0.2.0 - 2020-04-10

New Becnhmark API and lots of improved documentation.

New Features

  • The benchmark function now returns a complete leaderboard instead of only one score
  • Class Synthesizers can be directly passed to the benchmark function

Bug Fixes

  • One hot encoding errors in the Independent, VEEGAN and Medgan Synthesizers.
  • Proper usage of the eval mode during sampling.
  • Fix improperly configured datasets.

v0.1.0 - 2019-08-07

First release to PyPi