Examples
========

.. _examples-index:



General examples
-------------------

General-purpose and introductory examples for the scikit.



.. toctree::

    ./document_classification_20newsgroups
    ./feature_selection_pipeline
    ./grid_search_digits
    ./grid_search_text_feature_extraction
    ./logistic_l1_l2_coef
    ./mlcomp_sparse_document_classification
    ./naive_bayes
    ./plot_classification_probability
    ./plot_confusion_matrix
    ./plot_digits_classification
    ./plot_feature_selection
    ./plot_lda_qda
    ./plot_lda_vs_qda
    ./plot_neighbors
    ./plot_neighbors_regression
    ./plot_permutation_test_for_classification
    ./plot_pls
    ./plot_precision_recall
    ./plot_rfe_digits
    ./plot_rfe_with_cross_validation
    ./plot_roc
    ./plot_roc_crossval
    ./plot_train_error_vs_test_error



Examples based on real world datasets
-------------------------------------

Applications to real world problems with some medium sized datasets or
interactive user interface.



.. toctree::

    applications/face_recognition
    applications/plot_species_distribution_modeling
    applications/stock_market
    applications/svm_gui
    applications/wikipedia_principal_eigenvector


.. _cluster_examples:

Clustering
----------

Examples concerning the `scikits.learn.cluster` package.



.. toctree::

    cluster/kmeans_digits
    cluster/plot_affinity_propagation
    cluster/plot_feature_agglomeration_vs_univariate_selection
    cluster/plot_lena_segmentation
    cluster/plot_lena_ward_segmentation
    cluster/plot_mean_shift
    cluster/plot_segmentation_toy
    cluster/plot_ward_structured_vs_unstructured


Covariance estimation
---------------------

Examples concerning the `scikits.learn.covariance` package.


.. toctree::

    covariance/plot_covariance_estimation
    covariance/plot_lw_vs_oas


.. _decomposition_examples:

Decomposition 
-------------

Examples concerning the `scikits.learn.decomposition` package.



.. toctree::

    decomposition/plot_ica_blind_source_separation
    decomposition/plot_ica_vs_pca
    decomposition/plot_kernel_pca
    decomposition/plot_nmf
    decomposition/plot_pca_vs_lda


.. _gaussian_process_examples:

Gaussian Process for Machine Learning
-------------------------------------

Examples concerning the `scikits.learn.gaussian_process` package.



.. toctree::

    gaussian_process/gp_diabetes_dataset
    gaussian_process/plot_gp_probabilistic_classification_after_regression
    gaussian_process/plot_gp_regression



Generalized Linear Models
-------------------------

Examples concerning the `scikits.learn.linear_model` package.


.. toctree::

    linear_model/lasso_and_elasticnet
    linear_model/lasso_dense_vs_sparse_data
    linear_model/lasso_path_with_crossvalidation
    linear_model/plot_ard
    linear_model/plot_bayesian_ridge
    linear_model/plot_lasso_coordinate_descent_path
    linear_model/plot_lasso_lars
    linear_model/plot_lasso_path_crossval
    linear_model/plot_logistic_path
    linear_model/plot_ols
    linear_model/plot_polynomial_interpolation
    linear_model/plot_sgd_iris
    linear_model/plot_sgd_loss_functions
    linear_model/plot_sgd_ols
    linear_model/plot_sgd_penalties
    linear_model/plot_sgd_separating_hyperplane
    linear_model/plot_sgd_weighted_classes
    linear_model/plot_sgd_weighted_samples



Gaussian Mixture Models
-----------------------

Examples concerning the `scikits.learn.mixture` package.


.. toctree::

    mixture/plot_gmm
    mixture/plot_gmm_classifier
    mixture/plot_gmm_pdf


.. _svm_examples:

Support Vector Machines
-----------------------

Examples concerning the `scikits.learn.svm` package.



.. toctree::

    svm/plot_custom_kernel
    svm/plot_iris
    svm/plot_oneclass
    svm/plot_separating_hyperplane
    svm/plot_separating_hyperplane_unbalanced
    svm/plot_svm_anova
    svm/plot_svm_nonlinear
    svm/plot_svm_regression
    svm/plot_weighted_samples