.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/visualkeras/plot_dl_nlp_vector_index_db.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_examples_visualkeras_plot_dl_nlp_vector_index_db.py>`
        to download the full example code or to run this example in your browser via JupyterLite or Binder.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_visualkeras_plot_dl_nlp_vector_index_db.py:


visualkeras: Vector Index DB
==========================================

.. currentmodule:: scikitplot.visualkeras

An example showing the :py:func:`~scikitplot.visualkeras` function
used by a :py:class:`~tensorflow.keras.Model` model.

.. GENERATED FROM PYTHON SOURCE LINES 10-15

.. code-block:: Python


    # Authors: The scikit-plots developers
    # SPDX-License-Identifier: BSD-3-Clause









.. GENERATED FROM PYTHON SOURCE LINES 16-34

.. code-block:: Python


    # visualkeras Need aggdraw tensorflow
    # !pip install scikitplot[core, cpu]
    # or
    # !pip install aggdraw
    # !pip install tensorflow
    # python -c "import tensorflow as tf, google.protobuf as pb; print('tf', tf.__version__); print('protobuf', pb.__version__)"
    # python -m pip check
    # If Needed
    # pip install -U "protobuf<6"
    # pip install protobuf==5.29.4
    import tensorflow as tf

    # Clear any session to reset the state of TensorFlow/Keras
    tf.keras.backend.clear_session()

    from scikitplot import visualkeras








.. GENERATED FROM PYTHON SOURCE LINES 35-49

.. code-block:: Python


    import sys

    # TODO: change this import to wherever your modified AnnoyIndex lives
    # e.g. scikitplot.cexternals._annoy or similar
    import scikitplot.cexternals._annoy as annoy
    # from scikitplot import annoy

    sys.modules["annoy"] = annoy  # now `import annoy` will resolve to your module

    import annoy

    print(annoy.__doc__)





.. rst-class:: sphx-glr-script-out

 .. code-block:: none


    High-level Python interface for the C++ ANNoy backend.

    Spotify ANNoy [1]_ (Approximate Nearest Neighbors Oh Yeah).

    Exports:

    * Annoy       → low-level C-extension type (stable) `c-api powered new features <https://scikit-plots.github.io/dev/modules/generated/scikitplot.cexternals._annoy.Annoy.html>`_
    * AnnoyIndex  → alias of Annoy (legacy AnnoyIndex name)

    .. seealso::
        * :ref:`ANNoy <annoy-index>`
        * :ref:`cexternals/ANNoy <cexternals-annoy-index>`
        * https://github.com/spotify/annoy
        * https://pypi.org/project/annoy

    References
    ----------
    .. [1] `Spotify AB. (2013). "Approximate Nearest Neighbors Oh Yeah"
       Github. https://github.com/spotify/annoy <https://github.com/spotify/annoy>`_

    Examples
    --------
    >>> import random; random.seed(0)
    >>> # from annoy import Annoy, AnnoyIndex
    >>> from scikitplot.cexternals._annoy import Annoy, AnnoyIndex
    >>> from scikitplot.annoy import Annoy, AnnoyIndex, Index

    >>> f = 40  # vector dimensionality
    >>> t = AnnoyIndex(f, "angular")  # Length of item vector and metric
    >>> t.add_item(0, [1] * f)
    >>> t.build(10)  # Build 10 trees
    >>> t.get_nns_by_item(0, 1)  # Find nearest neighbor





.. GENERATED FROM PYTHON SOURCE LINES 50-58

.. tags::

   model-type: classification
   model-workflow: model building
   plot-type: visualkeras
   domain: neural network
   level: beginner
   purpose: showcase


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 0.370 seconds)


.. _sphx_glr_download_auto_examples_visualkeras_plot_dl_nlp_vector_index_db.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: binder-badge

      .. image:: images/binder_badge_logo.svg
        :target: https://mybinder.org/v2/gh/scikit-plots/scikit-plots/main?urlpath=lab/tree/notebooks/auto_examples/visualkeras/plot_dl_nlp_vector_index_db.ipynb
        :alt: Launch binder
        :width: 150 px

    .. container:: lite-badge

      .. image:: images/jupyterlite_badge_logo.svg
        :target: ../../lite/lab/index.html?path=auto_examples/visualkeras/plot_dl_nlp_vector_index_db.ipynb
        :alt: Launch JupyterLite
        :width: 150 px

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_dl_nlp_vector_index_db.ipynb <plot_dl_nlp_vector_index_db.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_dl_nlp_vector_index_db.py <plot_dl_nlp_vector_index_db.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_dl_nlp_vector_index_db.zip <plot_dl_nlp_vector_index_db.zip>`


.. include:: plot_dl_nlp_vector_index_db.recommendations


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_