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.. _changes_0_3:
Version 0.3
===========
**February 22, 2018**
Changelog
---------
Testing
~~~~~~~
- Pytest is used instead of nosetests. :issue:`321` by :user:`Joan Massich
<massich>`.
Documentation
~~~~~~~~~~~~~
- Added a User Guide and extended some examples. :issue:`295` by
:user:`Guillaume Lemaitre <glemaitre>`.
Bug fixes
~~~~~~~~~
- Fixed a bug in :func:`utils.check_ratio` such that an error is raised when
the number of samples required is negative. :issue:`312` by :user:`Guillaume
Lemaitre <glemaitre>`.
- Fixed a bug in :class:`under_sampling.NearMiss` version 3. The indices
returned were wrong. :issue:`312` by :user:`Guillaume Lemaitre <glemaitre>`.
- Fixed bug for :class:`ensemble.BalanceCascade` and :class:`combine.SMOTEENN`
and :class:`SMOTETomek`. :issue:`295` by :user:`Guillaume Lemaitre
<glemaitre>`.
- Fixed bug for `check_ratio` to be able to pass arguments when `ratio` is a
callable. :issue:`307` by :user:`Guillaume Lemaitre <glemaitre>`.
New features
~~~~~~~~~~~~
- Turn off steps in :class:`pipeline.Pipeline` using the `None`
object. By :user:`Christos Aridas <chkoar>`.
- Add a fetching function :func:`datasets.fetch_datasets` in order to get some
imbalanced datasets useful for benchmarking. :issue:`249` by :user:`Guillaume
Lemaitre <glemaitre>`.
Enhancement
~~~~~~~~~~~
- All samplers accepts sparse matrices with defaulting on CSR
type. :issue:`316` by :user:`Guillaume Lemaitre <glemaitre>`.
- :func:`datasets.make_imbalance` take a ratio similarly to other samplers. It
supports multiclass. :issue:`312` by :user:`Guillaume Lemaitre <glemaitre>`.
- All the unit tests have been factorized and a :func:`utils.check_estimators`
has been derived from scikit-learn. By :user:`Guillaume Lemaitre
<glemaitre>`.
- Script for automatic build of conda packages and uploading. :issue:`242` by
:user:`Guillaume Lemaitre <glemaitre>`
- Remove seaborn dependence and improve the examples. :issue:`264` by
:user:`Guillaume Lemaitre <glemaitre>`.
- adapt all classes to multi-class resampling. :issue:`290` by :user:`Guillaume
Lemaitre <glemaitre>`
API changes summary
~~~~~~~~~~~~~~~~~~~
- `__init__` has been removed from the :class:`base.SamplerMixin` to create a
real mixin class. :issue:`242` by :user:`Guillaume Lemaitre <glemaitre>`.
- creation of a module :mod:`exceptions` to handle consistant raising of
errors. :issue:`242` by :user:`Guillaume Lemaitre <glemaitre>`.
- creation of a module ``utils.validation`` to make checking of recurrent
patterns. :issue:`242` by :user:`Guillaume Lemaitre <glemaitre>`.
- move the under-sampling methods in ``prototype_selection`` and
``prototype_generation`` submodule to make a clearer
dinstinction. :issue:`277` by :user:`Guillaume Lemaitre <glemaitre>`.
- change ``ratio`` such that it can adapt to multiple class
problems. :issue:`290` by :user:`Guillaume Lemaitre <glemaitre>`.
Deprecation
~~~~~~~~~~~
- Deprecation of the use of ``min_c_`` in
:func:`datasets.make_imbalance`. :issue:`312` by :user:`Guillaume Lemaitre
<glemaitre>`
- Deprecation of the use of float in :func:`datasets.make_imbalance` for the
ratio parameter. :issue:`290` by :user:`Guillaume Lemaitre <glemaitre>`.
- deprecate the use of float as ratio in favor of dictionary, string, or
callable. :issue:`290` by :user:`Guillaume Lemaitre <glemaitre>`.
|
