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

.. py:module:: kosmos.ml.datasets.iris_dataset







Classes
-------

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

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

   Iris dataset for multiclass classification.

   .. admonition:: Notes

      - Number of instances: 150 (50 per class)
      - Number of features: 4 numeric
      - Classes: 3 (balanced; ~33.3% each)

   .. admonition:: References

      - UCI Machine Learning Repository — Iris dataset: https://archive.ics.uci.edu/dataset/53/iris

   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

      0 -> setosa, 1 -> versicolor, 2 -> virginica.

      :type: Return human-readable class labels

   .. py:property:: input_dimension

      Number of feature columns.

   .. py:property:: output_dim

      Number of distinct classes.