v0.5.0 - 2022-05-11

This release fixes an error where the relational KSTest crashes if a table doesn't have numerical columns.
It also includes some housekeeping, updating the pomegranate and copulas version requirements.

Issues closed

• Cap pomegranate to <0.14.7 - Issue #116 by @csala
• Relational KSTest crashes with IncomputableMetricError if a table doesn't have numerical columns - Issue #109 by @katxiao

v0.4.1 - 2021-12-09

v0.4.1 - 2021-12-09

This release improves the handling of metric errors, and updates the default transformer behavior used in SDMetrics.

Issues closed

• Report metric errors from compute_metrics - Issue #107 by @katxiao
• Specify default categorical transformers - Issue #105 by @katxiao

v0.4.0 - 2021-11-16

This release adds support for Python 3.9 and updates dependencies to ensure compatibility with the rest of the SDV ecosystem, and upgrades to the latests RDT release.

Issues closed

• Replace sktime for pyts - Issue #103 by @pvk-developer
• Add support for Python 3.9 - Issue #102 by @pvk-developer
• Increase code style lint - Issue #80 by @fealho
• Add pip check to CI workflows - Issue #79 by @pvk-developer
• Upgrade dependency ranges - Issue #69 by @katxiao

v0.3.2 - 2021-08-16

This release makes pomegranate an optional dependency.

Issues closed

• Make pomegranate an optional dependency - Issue #63 by @fealho

v0.3.1 - 2021-07-12

v0.3.1 - 2021-07-12

This release fixes a bug to make the privacy metrics available in the API docs.
It also updates dependencies to ensure compatibility with the rest of the SDV ecosystem.

Issues closed

• CategoricalSVM not being imported - Issue #65 by @csala

v0.3.0 - 2021-03-31

This release includes privacy metrics to evaluate if the real data could be obtained or deduced from the synthetic samples. Additionally all the metrics have a normalize method which takes the raw_score generated by the metric and returns a value between 0 and 1.

Issues closed

• Add normalize method to metrics - Issue #51 by @csala and @fealho
• Implement privacy metrics - Issue #36 by @ZhuofanXie and @fealho

v0.2.0 - 2021-02-24

Dependency upgrades to ensure compatibility with the rest of the SDV ecosystem.

v0.1.3 - 2021-02-13

Updates the required dependecies to facilitate a conda release.

Issues closed

• Upgrade sktime - Issue #49 by @fealho

v0.1.2 - 2021-01-27

Big fixing release that addresses several minor errors.

Issues closed

• More splits than classes - Issue #46 by @fealho
• Scipy 1.6.0 causes an AttributeError - Issue #44 by @fealho
• Time series metrics fails with variable length timeseries - Issue #42 by @fealho
• ParentChildDetection metrics KeyError - Issue #39 by @csala

v0.1.1 - 2020-12-30

This version adds Time Series Detection and Efficacy metrics, as well as a fix
to ensure that Single Table binary classification efficacy metrics work well
with binary targets which are not boolean.

Issues closed

• Timeseries efficacy metrics - Issue #35 by @csala
• Timeseries detection metrics - Issue #34 by @csala
• Ensure binary classification targets are bool - Issue #33 by @csala