v0.2.1 - 2020-01-17

Bugs Fixed

• Boolean Transformer fails to revert when there are NO nulls - Issue #103 by @JDTheRipperPC

v0.2.0 - 2019-10-15

This version comes with a brand new API and internal implementation, removing the old
metadata JSON from the user provided arguments, and making each transformer work only
with pandas.Series of their corresponding data type.

As part of this change, several transformer names have been changed and a new BooleanTransformer
and a feature to automatically decide which transformers to use based on dtypes have been added.

Unit test coverage has also been increased to 100%.

Special thanks to @JDTheRipperPC and @csala for the big efforts put in making this
release possible.

Issues

• Drop the usage of meta - Issue #72 by @JDTheRipperPC
• Make CatTransformer.probability_map deterministic - Issue #25 by @csala

v0.1.3 - 2019-09-24

New Features

• Add attributes NullTransformer and col_meta. - Issue #30 by @ManuelAlvarezC

General Improvements

• Integrate with CodeCov - Issue #89 by @csala
• Remake Sphinx Documentation - Issue #96 by @JDTheRipperPC
• Improve README - Issue #92 by @JDTheRipperPC
• Document RELEASE workflow - Issue #93 by @JDTheRipperPC
• Add support to Python 3.7 - Issue #38 by @ManuelAlvarezC
• Create way to pass HyperTransformer table dict - Issue #45 by @ManuelAlvarezC

v0.1.2

• Add a numerical transformer for positive numbers.
• Add option to anonymize data on categorical transformer.
• Move the col_meta argument from method-level to class-level.
• Move the logic for missing values from the transformers into the HyperTransformer.
• Removed unreacheble lines in NullTransformer.
• Numbertransfomer to set default value to 0 when the column is null.
• Add a CLA for collaborators.
• Refactor performance-wise the transformers.

v0.1.1

• Improve handling of NaN in NumberTransformer and CatTransformer.
• Add unittests for HyperTransformer.
• Remove unused methods get_types and impute_table from HyperTransformer.
• Make NumberTransformer enforce dtype int on integer data.
• Make DTTransformer check data format before transforming.
• Add minimal API Reference.
• Merge rdt.utils into HyperTransformer class.

First Release

First release to PyPi