v0.1.3 (September 23, 2022)
----------------------------
This is a minor release with a change in objective and bug fixes for issues identified since ``v0.1.2``.
Features
~~~~~~~~~~
- Change made in the software orientation by starting developing the packages following the `scikit-learn `_
API. The ``fit`` method is implemented in many functions and replaces the `GMT` development API. This has happened
when the :mod:`models` module is starting growing by implementing the cross-validation.
- New algorithmns in the :mod:`watex.base` module are started such as :class:`watex.base.SequentialBackwardSelection`, :class:`watex.base.AdalineGradientDescent`
additional to the assessors :class:`watex.base.Data` and :class:`watex.base.Missing`.
- Upload the :code:`watex` documentation in `ReadTheDocs `__ server for the first time. See
older `v0.1.3 `__ documentation
- Upload the ``_p`` module ( from :mod:`watex.datasets._p`) referring to an example of data preparation, the case of :term:`Bagoue Region`.
- Upload new packages of datasets such :func:`watex.datasets.load_semien`, :func:`watex.datasets.load_boundiali`,
:func:`watex.datasets.load_gbalo`, :func:`watex.datasets.load_iris`.
Bug fixes
~~~~~~~~~~~
- Fixed a bug in :class:`watex.view.QuickPlot` when setting objective to ``flow`` and expecting the data to be automated following
the case-history paper of :term:`Bagoue region`.
- Fixed a bug in fetching data in remote from :func:`watex.datasets.rload.loadBagoueDataset`. Unable to fetch correctly the dataset
reset every time a new data record is uploaded in `zenodo `__.
- Fixed bug in :class:`watex.datasets.rload.Loader` by mixing the three ways of fetching data from
``_fromgithub``, ``_fromzenodo``, ``_fromlocal`` to optmize the change of recovering data. A thread is set for parallelizing
the data retrieval.