.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/svm/plot_linearsvc_support_vectors.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_svm_plot_linearsvc_support_vectors.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_svm_plot_linearsvc_support_vectors.py:


=====================================
رسم المتجهات الداعمة في LinearSVC
=====================================

على عكس SVC (الذي يعتمد على LIBSVM)، فإن LinearSVC (الذي يعتمد على LIBLINEAR) لا يوفر
المتجهات الداعمة. يوضح هذا المثال كيفية الحصول على المتجهات الداعمة في LinearSVC.

.. GENERATED FROM PYTHON SOURCE LINES 10-60



.. image-sg:: /auto_examples/svm/images/sphx_glr_plot_linearsvc_support_vectors_001.png
   :alt: C=1, C=100
   :srcset: /auto_examples/svm/images/sphx_glr_plot_linearsvc_support_vectors_001.png
   :class: sphx-glr-single-img





.. code-block:: Python


    # المؤلفون: مطوري scikit-learn
    # معرف الترخيص: BSD-3-Clause

    import matplotlib.pyplot as plt
    import numpy as np

    from sklearn.datasets import make_blobs
    from sklearn.inspection import DecisionBoundaryDisplay
    from sklearn.svm import LinearSVC

    X, y = make_blobs(n_samples=40, centers=2, random_state=0)

    plt.figure(figsize=(10, 5))
    for i, C in enumerate([1, 100]):
        # "hinge" هي خسارة SVM القياسية
        clf = LinearSVC(C=C, loss="hinge", random_state=42).fit(X, y)
        # الحصول على المتجهات الداعمة من خلال دالة القرار
        decision_function = clf.decision_function(X)
        # يمكننا أيضًا حساب دالة القرار يدويًا
        # decision_function = np.dot(X, clf.coef_[0]) + clf.intercept_[0]
        # المتجهات الداعمة هي العينات التي تقع داخل حدود الهامش
        # والتي يُحافظ على حجمها تقليديًا عند 1
        support_vector_indices = np.where(np.abs(decision_function) <= 1 + 1e-15)[0]
        support_vectors = X[support_vector_indices]

        plt.subplot(1, 2, i + 1)
        plt.scatter(X[:, 0], X[:, 1], c=y, s=30, cmap=plt.cm.Paired)
        ax = plt.gca()
        DecisionBoundaryDisplay.from_estimator(
            clf,
            X,
            ax=ax,
            grid_resolution=50,
            plot_method="contour",
            colors="k",
            levels=[-1, 0, 1],
            alpha=0.5,
            linestyles=["--", "-", "--"],
        )
        plt.scatter(
            support_vectors[:, 0],
            support_vectors[:, 1],
            s=100,
            linewidth=1,
            facecolors="none",
            edgecolors="k",
        )
        plt.title("C=" + str(C))
    plt.tight_layout()
    plt.show()

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

   **Total running time of the script:** (0 minutes 0.204 seconds)


.. _sphx_glr_download_auto_examples_svm_plot_linearsvc_support_vectors.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-learn/scikit-learn/main?urlpath=lab/tree/notebooks/auto_examples/svm/plot_linearsvc_support_vectors.ipynb
        :alt: Launch binder
        :width: 150 px

    .. container:: lite-badge

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

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

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

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

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

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

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


.. include:: plot_linearsvc_support_vectors.recommendations


.. only:: html

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

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