v1.14.0 - 2025-02-11

New Features

• Add LogScaler transformer - Issue #930 by @rwedge
• Add LogitScaler transformer - Issue #929 by @frances-h

Maintenance

• Cancel previous workflow runs on a new push - Issue #927 by @R-Palazzo
• Combine static_code_analysis.yml with release_notes.yml - Issue #915 by @R-Palazzo
• Support Python 3.13 - Issue #899 by @rwedge

v1.13.2 - 2024-12-16

Bugs Fixed

• Wrong code in _set_seed of BaseTransformer? - Issue #906 by @fealho

v1.13.1 - 2024-11-13

Bugs Fixed

• [PyArrow] NotImplementedError when using FloatFormatter with numerical data types during fit. - Issue #886 by @fealho
• Trying to print() a GaussianNormalizer instance throws an error - Issue #883 by @fealho

v1.13.0 - 2024-10-08

New Features

• Align text/id sdtypes to the SDV library - Issue #880

Internal

• Add workflow to generate release notes - Issue #889 by @amontanez24

v1.12.4 - 2024-09-05

This release enables the create_anonymized_columns method to support multi-column transformers.

Bugs Fixed

• FloatFormatter does not round the data correctly for integer columns when using _set_fitted_parameters - Issue #874 by @R-Palazzo

New Features

• Make create_anonymized_columns work with multi columns transformer - Issue #871 by @R-Palazzo

v1.12.3 - 2024-08-14

This release improves RDT's import time by lazy importing a dependency in the ClusterBasedNormalizer.

Bugs Fixed

• HyperTransformer can’t detect UInt or uint - Issue #865 by @R-Palazzo

Maintenance

• Lazy import BayesianGaussianMixture from sklearn - Issue #861 by @amontanez24
• [dtype] Make learn_rounding_digits() work with new pandas dtypes - Issue #858 by @R-Palazzo

Internal

• [dtypes] FloatFormatter reverse transform does not support new pandas dtypes - Issue #855 by @R-Palazzo
• Remove is_faker_function from rdt/transformers/pii/utils.py - Issue #853 by @R-Palazzo

v1.12.2 - 2024-07-09

This release adds support for NumPy 2.0!

Internal

• Add _set_fitted_parameters method to AnonymizedFaker - Issue #831 by @lajohn4747
• Add _set_fitted_parameters method to BinaryEncoder - Issue #830 by @lajohn4747
• Add _set_fitted_parameters method to FloatFormatter - Issue #829 by @lajohn4747
• Add _set_fitted_parameters method to UnixTimestampEncoder - Issue #828 by @fealho
• Add _set_fitted_parameters method to NullTransformer - Issue #827 by @frances-h
• Add _set_fitted_parameters method to UniformEncoder - Issue #826 by @frances-h

Bugs Fixed

• Add support for numpy 2.0.0 - Issue #843 by @R-Palazzo
• Cap numpy to less than 2.0.0 until RDT supports - Issue #842 by @gsheni

v1.12.1 - 2024-05-09

This release handles a pandas warning that was showing up in the UniformEncoder.

Bugs Fixed

• Fix pandas FutureWarning in UniformEncoder - Issue #819 by @R-Palazzo

Maintenance

• Switch to using ruff for Python linting and code formatting - Issue #765 by @gsheni
• Only run unit and integration tests on oldest and latest python versions for macos - Issue #812 by @R-Palazzo

Internal

• Refactoring code for Enterprise issue #529 - PR#815 by @amontanez24

v1.12.0 - 2024-04-19

This release adds a new parameter to the RegexGenerator called generation_order. This parameter lets users change if they want the generated values for the regex to come out in alphanumeric or scrambled order. Additionally, warnings that were disrupting the progress bar are handled.

Bugs Fixed

• Pandas FutureWarnings are disrupting tqdm progress bars - Issue #793 by @frances-h

New Features

• In RegexGenerator, provide the ability to scramble the keys - Issue #800 by @amontanez24

Maintenance

• Cleanup automated PR workflows - Issue #803 by @R-Palazzo

v1.11.1 - 2024-04-16

This release fixes a small bug that caused problems with the latest version of Pandas.

Bugs Fixed

• Update pandas version and fix _add_columns_to_data - PR #796 by @fealho