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

.. py:module:: kosmos.ml.datasets.mnist_dataset







Classes
-------

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

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

   MNIST handwritten digits dataset for multiclass classification.

   .. admonition:: Notes

      - Number of instances: 70,000 (60,000 train + 10,000 test)
      - Number of features: 784 numeric (28x28 pixel images, flattened)
      - Classes: 10 (digits 0-9, roughly balanced)

   .. admonition:: References

      - OpenML — MNIST dataset: https://www.openml.org/d/554

   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

      Return human-readable class labels of numbers 0-9.

   .. py:property:: input_dimension

      Number of feature columns.

   .. py:property:: output_dim

      Number of distinct classes.