:py:mod:`kosmos.ml.datasets.wine_dataset`
=========================================

.. py:module:: kosmos.ml.datasets.wine_dataset







Classes
-------

.. py:class:: WineDataset(*, min_max_scaler: bool = True)

   Bases: :py:class:`kosmos.ml.datasets.dataset.SLDataset`

   Wine dataset for multiclass classification.

   .. admonition:: Notes

      - Number of instances: 178
      - Number of features: 13 numeric
      - Classes: 3 (slightly imbalanced;[59,71,48])

   .. admonition:: References

      - Scikit Learn Repository — Wine dataset: load_wine, dowloaded and fitted from https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data

   Initialize the dataset.

   :param min_max_scaler: Whether to apply min-max scaling to the features.
   :type min_max_scaler: bool




   |

   .. rubric:: Properties

   .. py:property:: class_names

      class_0, class_1, class_2.

      :type: Return human-readable class labels

   .. py:property:: input_dimension

      Number of feature columns.

   .. py:property:: output_dim

      Number of distinct classes.