.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/plot_pipeline_example.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_plot_pipeline_example.py>`
        to download the full example code.

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

.. _sphx_glr_auto_examples_plot_pipeline_example.py:


====================================================
Example of building a graph classification pipeline.
====================================================

Script makes use of :class:`grakelx.ShortestPath`

.. GENERATED FROM PYTHON SOURCE LINES 8-38




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

 .. code-block:: none


    Accuracy: 82.45%






|

.. code-block:: Python


    from __future__ import print_function

    print(__doc__)

    import numpy as np
    from sklearn.metrics import accuracy_score
    from sklearn.model_selection import GridSearchCV, cross_val_predict
    from sklearn.pipeline import make_pipeline
    from sklearn.svm import SVC

    from grakelx.datasets import fetch_dataset
    from grakelx.kernels import ShortestPath

    # Loads the Mutag dataset from:
    MUTAG = fetch_dataset("MUTAG", verbose=False)
    G, y = MUTAG.data, MUTAG.target

    # Values of C parameter of SVM
    C_grid = (10.0 ** np.arange(-4, 6, 1) / len(G)).tolist()

    # Creates pipeline
    estimator = make_pipeline(
        ShortestPath(normalize=True), GridSearchCV(SVC(kernel="precomputed"), dict(C=C_grid), scoring="accuracy", cv=10)
    )

    # Performs cross-validation and computes accuracy
    n_folds = 10
    acc = accuracy_score(y, cross_val_predict(estimator, G, y, cv=n_folds))
    print("Accuracy:", str(round(acc * 100, 2)) + "%")


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

   **Total running time of the script:** (0 minutes 6.006 seconds)


.. _sphx_glr_download_auto_examples_plot_pipeline_example.py:

.. only:: html

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

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

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

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

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

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

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


.. only:: html

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

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