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0.5.0 - 2021-07-12

This release updates the NumericalTransformer by adding a new rounding argument. Users can now obtain numerical values with precision, either pre-specified or automatically computed from the given data.

Issues closed

  • Add rounding argument to NumericalTransformer - Issue #166 by @amontanez24 and @csala
  • NumericalTransformer rounding error with infinity - Issue #169 by @amontanez24
  • Add min and max arguments to NumericalTransformer - Issue #106 by @amontanez24

0.4.2 - 2021-06-08

This release adds a new method to the CategoricalTransformer to solve a bug where the transformer becomes unusable after being pickled and unpickled if it had NaN values in the data which it was fit on.

It also fixes some grammar mistakes in the documentation.

Issues closed

  • CategoricalTransformer with NaN values cannot be pickled bug - Issue #164 by @pvk-developer and @csala

Documentation changes

  • docs: fix typo - PR #163 by @sbrugman

0.4.1 - 2021-03-29

This release improves the HyperTransformer memory usage when working with a high number of columns or a high number of categorical values when using one hot encoding.

Issues closed

  • Boolean, Datetime and LabelEncoding transformers fail with 2D ndarray - Issue #160 by @pvk-developer
  • HyperTransformer: Memory usage increase when reverse_transform is called - Issue #156 by @pvk-developer and @AnupamaGangadhar

0.4.0 - 2021-02-24

In this release a change in the HyperTransformer allows using it to transform and reverse transform a subset of the columns seen during training.

The anonymization functionality which was deprecated and not being used has also been removed along with the Faker dependency.

Issues closed

  • Allow the HyperTransformer to be used on a subset of the columns - Issue #152 by @csala
  • Remove faker - Issue #150 by @csala

0.3.0 - 2021-01-27

This release changes the behavior of the HyperTransformer to prevent it from modifying any column in the given DataFrame if the transformers dictionary is passed empty.

Issues closed

  • If transformers is an empty dict, do nothing - Issue #149 by @csala

0.2.10 - 2020-12-18

This release adds a new argument to the HyperTransformer which gives control over which transformers to use by default for each dtype if no specific transformer has been specified for the field.

This is also the first version to be officially released on conda.

Issues closed

  • Add dtype_transformers argument to HyperTransformer - Issue #148 by @csala
  • Makes Copulas an optional dependency - Issue #144 by @fealho

0.2.9 - 2020-11-27

This release fixes a bug that prevented the CategoricalTransformer from working properly when being passed data that contained numerical data only, without any strings, but also contained None or NaN values.

Issues closed

  • KeyError: nan - CategoricalTransformer fails on numerical + nan data only - Issue #142 by @csala

0.2.8 - 2020-11-20

This release fixes a few minor bugs, including some which prevented RDT from fully working on Windows systems.

Thanks to this fixes, as well as a new testing infrastructure that has been set up, from now on RDT is officially supported on Windows systems, as well as on the Linux and macOS systems which were previously supported.

Issues closed

  • TypeError: unsupported operand type(s) for: 'NoneType' and 'int' - Issue #132 by @csala
  • Example does not work on Windows - Issue #114 by @csala
  • OneHotEncodingTransformer producing all zeros - Issue #135 by @fealho
  • OneHotEncodingTransformer support for lists and lists of lists - Issue #137 by @fealho

0.2.7 - 2020-10-16

In this release we drop the support for the now officially dead Python 3.5 and introduce a new feature in the DatetimeTransformer which reduces the dimensionality of the generated numerical values while also ensuring that the reverted datetimes maintain the same level as time unit precision as the original ones.

  • Drop Py35 support - Issue #129 by @csala
  • Add option to drop constant parts of the datetimes - Issue #130 by @csala

0.2.6 - 2020-10-05

  • Add GaussianCopulaTransformer - Issue #125 by @csala
  • dtype category error - Issue #124 by @csala

0.2.5 - 2020-09-18

Miunor bugfixing release.

Bugs Fixed

  • Handle NaNs in OneHotEncodingTransformer - Issue #118 by @csala
  • OneHotEncodingTransformer fails if there is only one category - Issue #119 by @csala
  • All NaN column produces NaN values enhancement - Issue #121 by @csala
  • Make the CategoricalTransformer learn the column dtype and restore it back - Issue #122 by @csala

0.2.4 - 2020-08-08

General Improvements

  • Support Python 3.8 - Issue #117 by @csala
  • Support pandas >1 - Issue #116 by @csala

0.2.3 - 2020-07-09

  • Implement OneHot and Label encoding as transformers - Issue #112 by @csala

0.2.2 - 2020-06-26

Bugs Fixed

  • Escape column_name in hypertransformer - Issue #110 by @csala

0.2.1 - 2020-01-17

Bugs Fixed

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

0.2.0 - 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

0.1.3 - 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

0.1.2

  • 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.

0.1.1

  • 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.

0.1.0

  • First release on PyPI.