.. _sphx_glr_auto_examples_svm: .. _svm_examples: Support Vector Machines ----------------------- Examples concerning the :mod:`sklearn.svm` module. .. raw:: html
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.. only:: html .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_nonlinear_thumb.png :alt: :ref:`sphx_glr_auto_examples_svm_plot_svm_nonlinear.py` .. raw:: html
Non-linear SVM
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.. only:: html .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_oneclass_thumb.png :alt: :ref:`sphx_glr_auto_examples_svm_plot_oneclass.py` .. raw:: html
One-class SVM with non-linear kernel (RBF)
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.. only:: html .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_kernels_thumb.png :alt: :ref:`sphx_glr_auto_examples_svm_plot_svm_kernels.py` .. raw:: html
Plot classification boundaries with different SVM Kernels
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.. only:: html .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_iris_svc_thumb.png :alt: :ref:`sphx_glr_auto_examples_svm_plot_iris_svc.py` .. raw:: html
Plot different SVM classifiers in the iris dataset
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.. only:: html .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_linearsvc_support_vectors_thumb.png :alt: :ref:`sphx_glr_auto_examples_svm_plot_linearsvc_support_vectors.py` .. raw:: html
Plot the support vectors in LinearSVC
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.. only:: html .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_rbf_parameters_thumb.png :alt: :ref:`sphx_glr_auto_examples_svm_plot_rbf_parameters.py` .. raw:: html
RBF SVM parameters
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.. only:: html .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_margin_thumb.png :alt: :ref:`sphx_glr_auto_examples_svm_plot_svm_margin.py` .. raw:: html
SVM Margins Example
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.. only:: html .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_tie_breaking_thumb.png :alt: :ref:`sphx_glr_auto_examples_svm_plot_svm_tie_breaking.py` .. raw:: html
SVM Tie Breaking Example
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.. only:: html .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_custom_kernel_thumb.png :alt: :ref:`sphx_glr_auto_examples_svm_plot_custom_kernel.py` .. raw:: html
SVM with custom kernel
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.. only:: html .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_anova_thumb.png :alt: :ref:`sphx_glr_auto_examples_svm_plot_svm_anova.py` .. raw:: html
SVM-Anova: SVM with univariate feature selection
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.. only:: html .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_separating_hyperplane_thumb.png :alt: :ref:`sphx_glr_auto_examples_svm_plot_separating_hyperplane.py` .. raw:: html
SVM: Maximum margin separating hyperplane
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.. only:: html .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_separating_hyperplane_unbalanced_thumb.png :alt: :ref:`sphx_glr_auto_examples_svm_plot_separating_hyperplane_unbalanced.py` .. raw:: html
SVM: Separating hyperplane for unbalanced classes
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.. only:: html .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_weighted_samples_thumb.png :alt: :ref:`sphx_glr_auto_examples_svm_plot_weighted_samples.py` .. raw:: html
SVM: Weighted samples
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.. only:: html .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_scale_c_thumb.png :alt: :ref:`sphx_glr_auto_examples_svm_plot_svm_scale_c.py` .. raw:: html
Scaling the regularization parameter for SVCs
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.. only:: html .. image:: /auto_examples/svm/images/thumb/sphx_glr_plot_svm_regression_thumb.png :alt: :ref:`sphx_glr_auto_examples_svm_plot_svm_regression.py` .. raw:: html
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