.. _sphx_glr_auto_examples_svm:
.. _svm_examples:
Support Vector Machines
-----------------------
Examples concerning the :mod:`sklearn.svm` module.
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.. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_nonlinear_thumb.png
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:ref:`sphx_glr_auto_examples_svm_plot_svm_nonlinear.py`
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Non-linear SVM
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.. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_oneclass_thumb.png
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:ref:`sphx_glr_auto_examples_svm_plot_oneclass.py`
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One-class SVM with non-linear kernel (RBF)
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.. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_kernels_thumb.png
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:ref:`sphx_glr_auto_examples_svm_plot_svm_kernels.py`
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Plot classification boundaries with different SVM Kernels
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.. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_iris_svc_thumb.png
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:ref:`sphx_glr_auto_examples_svm_plot_iris_svc.py`
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Plot different SVM classifiers in the iris dataset
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.. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_linearsvc_support_vectors_thumb.png
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:ref:`sphx_glr_auto_examples_svm_plot_linearsvc_support_vectors.py`
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Plot the support vectors in LinearSVC
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.. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_rbf_parameters_thumb.png
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:ref:`sphx_glr_auto_examples_svm_plot_rbf_parameters.py`
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RBF SVM parameters
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.. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_margin_thumb.png
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:ref:`sphx_glr_auto_examples_svm_plot_svm_margin.py`
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SVM Margins Example
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.. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_tie_breaking_thumb.png
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:ref:`sphx_glr_auto_examples_svm_plot_svm_tie_breaking.py`
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SVM Tie Breaking Example
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.. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_custom_kernel_thumb.png
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:ref:`sphx_glr_auto_examples_svm_plot_custom_kernel.py`
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SVM with custom kernel
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.. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_anova_thumb.png
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:ref:`sphx_glr_auto_examples_svm_plot_svm_anova.py`
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SVM-Anova: SVM with univariate feature selection
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.. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_separating_hyperplane_thumb.png
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:ref:`sphx_glr_auto_examples_svm_plot_separating_hyperplane.py`
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SVM: Maximum margin separating hyperplane
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.. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_separating_hyperplane_unbalanced_thumb.png
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:ref:`sphx_glr_auto_examples_svm_plot_separating_hyperplane_unbalanced.py`
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SVM: Separating hyperplane for unbalanced classes
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.. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_weighted_samples_thumb.png
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:ref:`sphx_glr_auto_examples_svm_plot_weighted_samples.py`
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SVM: Weighted samples
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.. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_scale_c_thumb.png
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:ref:`sphx_glr_auto_examples_svm_plot_svm_scale_c.py`
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Scaling the regularization parameter for SVCs
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.. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_regression_thumb.png
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:ref:`sphx_glr_auto_examples_svm_plot_svm_regression.py`
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Support Vector Regression (SVR) using linear and non-linear kernels
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.. toctree::
:hidden:
/auto_examples/svm/plot_svm_nonlinear
/auto_examples/svm/plot_oneclass
/auto_examples/svm/plot_svm_kernels
/auto_examples/svm/plot_iris_svc
/auto_examples/svm/plot_linearsvc_support_vectors
/auto_examples/svm/plot_rbf_parameters
/auto_examples/svm/plot_svm_margin
/auto_examples/svm/plot_svm_tie_breaking
/auto_examples/svm/plot_custom_kernel
/auto_examples/svm/plot_svm_anova
/auto_examples/svm/plot_separating_hyperplane
/auto_examples/svm/plot_separating_hyperplane_unbalanced
/auto_examples/svm/plot_weighted_samples
/auto_examples/svm/plot_svm_scale_c
/auto_examples/svm/plot_svm_regression