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<li class="toctree-l1"><a class="reference internal" href="install.html">1. Installing <cite>scikit-learn</cite></a><ul>
<li class="toctree-l2"><a class="reference internal" href="install.html#installing-an-official-release">1.1. Installing an official release</a><ul>
<li class="toctree-l3"><a class="reference internal" href="install.html#installing-from-source">1.1.1. Installing from source</a><ul>
<li class="toctree-l4"><a class="reference internal" href="install.html#easy-install">1.1.1.1. Easy install</a></li>
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<li class="toctree-l3"><a class="reference internal" href="install.html#building-on-windows">1.1.3. Building on windows</a></li>
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<li class="toctree-l2"><a class="reference internal" href="install.html#third-party-distributions-of-scikit-learn">1.2. Third party distributions of scikit-learn</a><ul>
<li class="toctree-l3"><a class="reference internal" href="install.html#debian-and-derivatives-ubuntu">1.2.1. Debian and derivatives (Ubuntu)</a></li>
<li class="toctree-l3"><a class="reference internal" href="install.html#python-x-y">1.2.2. Python(x, y)</a></li>
<li class="toctree-l3"><a class="reference internal" href="install.html#enthought-python-distribution">1.2.3. Enthought Python distribution</a></li>
<li class="toctree-l3"><a class="reference internal" href="install.html#macports">1.2.4. Macports</a></li>
<li class="toctree-l3"><a class="reference internal" href="install.html#netbsd">1.2.5. NetBSD</a></li>
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<li class="toctree-l2"><a class="reference internal" href="install.html#bleeding-edge">1.3. Bleeding Edge</a></li>
<li class="toctree-l2"><a class="reference internal" href="install.html#testing">1.4. Testing</a></li>
</ul>
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<li class="toctree-l1"><a class="reference internal" href="tutorial/index.html">2. Tutorials: From the bottom up with scikit-learn</a><ul>
<li class="toctree-l2"><a class="reference internal" href="tutorial/basic/tutorial.html">2.1. An Introduction to machine learning with scikit-learn</a><ul>
<li class="toctree-l3"><a class="reference internal" href="tutorial/basic/tutorial.html#machine-learning-the-problem-setting">2.1.1. Machine learning: the problem setting</a></li>
<li class="toctree-l3"><a class="reference internal" href="tutorial/basic/tutorial.html#loading-an-example-dataset">2.1.2. Loading an example dataset</a></li>
<li class="toctree-l3"><a class="reference internal" href="tutorial/basic/tutorial.html#learning-and-predicting">2.1.3. Learning and Predicting</a></li>
<li class="toctree-l3"><a class="reference internal" href="tutorial/basic/tutorial.html#model-persistence">2.1.4. Model persistence</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="tutorial/statistical_inference/index.html">2.2. Statistical-learning for sientific data processing tutorial</a><ul>
<li class="toctree-l3"><a class="reference internal" href="tutorial/statistical_inference/settings.html">1. Statistical learning: the setting and the estimator object in the scikit-learn</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorial/statistical_inference/settings.html#datasets">1.1. Datasets</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorial/statistical_inference/settings.html#estimators-objects">1.2. Estimators objects</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorial/statistical_inference/supervised_learning.html">2. Supervised learning: predicting an output variable from high-dimensional observations</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorial/statistical_inference/supervised_learning.html#nearest-neighbor-and-the-curse-of-dimensionality">2.1. Nearest neighbor and the curse of dimensionality</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorial/statistical_inference/supervised_learning.html#k-nearest-neighbors-classifier">2.1.1. k-Nearest neighbors classifier</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorial/statistical_inference/supervised_learning.html#the-curse-of-dimensionality">2.1.2. The curse of dimensionality</a></li>
</ul>
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<li class="toctree-l4"><a class="reference internal" href="tutorial/statistical_inference/supervised_learning.html#linear-model-from-regression-to-sparsity">2.2. Linear model: from regression to sparsity</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorial/statistical_inference/supervised_learning.html#linear-regression">2.2.1. Linear regression</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorial/statistical_inference/supervised_learning.html#shrinkage">2.2.2. Shrinkage</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorial/statistical_inference/supervised_learning.html#sparsity">2.2.3. Sparsity</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorial/statistical_inference/supervised_learning.html#classification">2.2.4. Classification</a><ul>
<li class="toctree-l6"><a class="reference internal" href="tutorial/statistical_inference/digits_classification_exercise.html">2.2.4.1. Excercice: classification of digits</a></li>
</ul>
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</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="tutorial/statistical_inference/supervised_learning.html#support-vector-machines-svms">2.3. Support vector machines (SVMs)</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorial/statistical_inference/supervised_learning.html#linear-svms">2.3.1. Linear SVMs</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorial/statistical_inference/supervised_learning.html#using-kernels">2.3.2. Using kernels</a><ul>
<li class="toctree-l6"><a class="reference internal" href="tutorial/statistical_inference/iris_classification_exercise.html">2.3.2.1. Exercise: classification of iris</a></li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorial/statistical_inference/model_selection.html">3. Model selection: choosing estimators and their parameters</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorial/statistical_inference/model_selection.html#score-and-cross-validated-scores">3.1. Score, and cross-validated scores</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorial/statistical_inference/model_selection.html#cross-validation-generators">3.2. Cross-validation generators</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorial/statistical_inference/digits_cv_exercise.html">3.2.1. Exercise: model selection on digits</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="tutorial/statistical_inference/model_selection.html#grid-search-and-cross-validated-estimators">3.3. Grid-search and cross-validated estimators</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorial/statistical_inference/model_selection.html#grid-search">3.3.1. Grid-search</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorial/statistical_inference/model_selection.html#cross-validated-estimators">3.3.2. Cross-validated estimators</a><ul>
<li class="toctree-l6"><a class="reference internal" href="tutorial/statistical_inference/diabetes_cv_exercise.html">3.3.2.1. Exercise: setting sparsity on diabetes</a></li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorial/statistical_inference/unsupervised_learning.html">4. Unsupervised learning: seeking representations of the data</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorial/statistical_inference/unsupervised_learning.html#clustering-grouping-observations-together">4.1. Clustering: grouping observations together</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorial/statistical_inference/unsupervised_learning.html#k-means-clustering">4.1.1. K-means clustering</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorial/statistical_inference/unsupervised_learning.html#hierarchical-clustering-ward">4.1.2. Hierarchical clustering: Ward</a><ul>
<li class="toctree-l6"><a class="reference internal" href="tutorial/statistical_inference/unsupervised_learning.html#connectivity-constrained-clustering">4.1.2.1. Connectivity-constrained clustering</a></li>
<li class="toctree-l6"><a class="reference internal" href="tutorial/statistical_inference/unsupervised_learning.html#feature-agglomeration">4.1.2.2. Feature agglomeration</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="tutorial/statistical_inference/unsupervised_learning.html#decompositions-from-a-signal-to-components-and-loadings">4.2. Decompositions: from a signal to components and loadings</a><ul>
<li class="toctree-l5"><a class="reference internal" href="tutorial/statistical_inference/unsupervised_learning.html#principal-component-analysis-pca">4.2.1. Principal component analysis: PCA</a></li>
<li class="toctree-l5"><a class="reference internal" href="tutorial/statistical_inference/unsupervised_learning.html#indenpendant-component-analysis-ica">4.2.2. Indenpendant Component Analysis: ICA</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorial/statistical_inference/putting_together.html">5. Putting it all together</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorial/statistical_inference/putting_together.html#pipelining">5.1. Pipelining</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorial/statistical_inference/putting_together.html#face-recognition-with-eigenfaces">5.2. Face recognition with eigenfaces</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorial/statistical_inference/putting_together.html#open-problem-stock-market-structure">5.3. Open problem: Stock Market Structure</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="tutorial/statistical_inference/finding_help.html">6. Finding help</a><ul>
<li class="toctree-l4"><a class="reference internal" href="tutorial/statistical_inference/finding_help.html#the-project-mailing-list">6.1. The project mailing list</a></li>
<li class="toctree-l4"><a class="reference internal" href="tutorial/statistical_inference/finding_help.html#q-a-communities-with-machine-learning-practictioners">6.2. Q&A communities with Machine Learning practictioners</a></li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="supervised_learning.html">3. Supervised learning</a><ul>
<li class="toctree-l2"><a class="reference internal" href="modules/linear_model.html">3.1. Generalized Linear Models</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/linear_model.html#ordinary-least-squares">3.1.1. Ordinary Least Squares</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/linear_model.html#ordinary-least-squares-complexity">3.1.1.1. Ordinary Least Squares Complexity</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/linear_model.html#ridge-regression">3.1.2. Ridge Regression</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/linear_model.html#ridge-complexity">3.1.2.1. Ridge Complexity</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/linear_model.html#setting-the-regularization-parameter-generalized-cross-validation">3.1.2.2. Setting the regularization parameter: generalized Cross-Validation</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/linear_model.html#lasso">3.1.3. Lasso</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/linear_model.html#setting-regularization-parameter">3.1.3.1. Setting regularization parameter</a><ul>
<li class="toctree-l5"><a class="reference internal" href="modules/linear_model.html#using-cross-validation">3.1.3.1.1. Using cross-validation</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/linear_model.html#information-criteria-based-model-selection">3.1.3.1.2. Information-criteria based model selection</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/linear_model.html#elastic-net">3.1.4. Elastic Net</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/linear_model.html#least-angle-regression">3.1.5. Least Angle Regression</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/linear_model.html#lars-lasso">3.1.6. LARS Lasso</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/linear_model.html#mathematical-formulation">3.1.6.1. Mathematical formulation</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/linear_model.html#orthogonal-matching-pursuit-omp">3.1.7. Orthogonal Matching Pursuit (OMP)</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/linear_model.html#bayesian-regression">3.1.8. Bayesian Regression</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/linear_model.html#bayesian-ridge-regression">3.1.8.1. Bayesian Ridge Regression</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/linear_model.html#automatic-relevance-determination-ard">3.1.8.2. Automatic Relevance Determination - ARD</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/linear_model.html#logisitic-regression">3.1.9. Logisitic regression</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/linear_model.html#stochastic-gradient-descent-sgd">3.1.10. Stochastic Gradient Descent - SGD</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/linear_model.html#perceptron">3.1.11. Perceptron</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/svm.html">3.2. Support Vector Machines</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/svm.html#classification">3.2.1. Classification</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/svm.html#multi-class-classification">3.2.1.1. Multi-class classification</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/svm.html#unbalanced-problems">3.2.1.2. Unbalanced problems</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/svm.html#regression">3.2.2. Regression</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/svm.html#density-estimation-novelty-detection">3.2.3. Density estimation, novelty detection</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/svm.html#complexity">3.2.4. Complexity</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/svm.html#tips-on-practical-use">3.2.5. Tips on Practical Use</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/svm.html#kernel-functions">3.2.6. Kernel functions</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/svm.html#custom-kernels">3.2.6.1. Custom Kernels</a><ul>
<li class="toctree-l5"><a class="reference internal" href="modules/svm.html#using-python-functions-as-kernels">3.2.6.1.1. Using python functions as kernels</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/svm.html#using-the-gram-matrix">3.2.6.1.2. Using the Gram matrix</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/svm.html#mathematical-formulation">3.2.7. Mathematical formulation</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/svm.html#svc">3.2.7.1. SVC</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/svm.html#nusvc">3.2.7.2. NuSVC</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/svm.html#implementation-details">3.2.8. Implementation details</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/sgd.html">3.3. Stochastic Gradient Descent</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/sgd.html#classification">3.3.1. Classification</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/sgd.html#regression">3.3.2. Regression</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/sgd.html#stochastic-gradient-descent-for-sparse-data">3.3.3. Stochastic Gradient Descent for sparse data</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/sgd.html#complexity">3.3.4. Complexity</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/sgd.html#tips-on-practical-use">3.3.5. Tips on Practical Use</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/sgd.html#mathematical-formulation">3.3.6. Mathematical formulation</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/sgd.html#id1">3.3.6.1. SGD</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/sgd.html#implementation-details">3.3.7. Implementation details</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/neighbors.html">3.4. Nearest Neighbors</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/neighbors.html#unsupervised-nearest-neighbors">3.4.1. Unsupervised Nearest Neighbors</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/neighbors.html#nearest-neighbors-classification">3.4.2. Nearest Neighbors Classification</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/neighbors.html#nearest-neighbors-regression">3.4.3. Nearest Neighbors Regression</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/neighbors.html#nearest-neighbor-algorithms">3.4.4. Nearest Neighbor Algorithms</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/neighbors.html#brute-force">3.4.4.1. Brute Force</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/neighbors.html#k-d-tree">3.4.4.2. K-D Tree</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/neighbors.html#ball-tree">3.4.4.3. Ball Tree</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/neighbors.html#choice-of-nearest-neighbors-algorithm">3.4.4.4. Choice of Nearest Neighbors Algorithm</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/neighbors.html#effect-of-leaf-size">3.4.4.5. Effect of <tt class="docutils literal"><span class="pre">leaf_size</span></tt></a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/gaussian_process.html">3.5. Gaussian Processes</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/gaussian_process.html#examples">3.5.1. Examples</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/gaussian_process.html#an-introductory-regression-example">3.5.1.1. An introductory regression example</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/gaussian_process.html#fitting-noisy-data">3.5.1.2. Fitting Noisy Data</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/gaussian_process.html#mathematical-formulation">3.5.2. Mathematical formulation</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/gaussian_process.html#the-initial-assumption">3.5.2.1. The initial assumption</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/gaussian_process.html#the-best-linear-unbiased-prediction-blup">3.5.2.2. The best linear unbiased prediction (BLUP)</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/gaussian_process.html#the-empirical-best-linear-unbiased-predictor-eblup">3.5.2.3. The empirical best linear unbiased predictor (EBLUP)</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/gaussian_process.html#correlation-models">3.5.3. Correlation Models</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/gaussian_process.html#regression-models">3.5.4. Regression Models</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/gaussian_process.html#implementation-details">3.5.5. Implementation details</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/pls.html">3.6. Partial Least Squares</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/naive_bayes.html">3.7. Naive Bayes</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/naive_bayes.html#gaussian-naive-bayes">3.7.1. Gaussian Naive Bayes</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/naive_bayes.html#multinomial-naive-bayes">3.7.2. Multinomial Naive Bayes</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/naive_bayes.html#bernoulli-naive-bayes">3.7.3. Bernoulli Naive Bayes</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/tree.html">3.8. Decision Trees</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/tree.html#classification">3.8.1. Classification</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/tree.html#regression">3.8.2. Regression</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/tree.html#complexity">3.8.3. Complexity</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/tree.html#tips-on-practical-use">3.8.4. Tips on practical use</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/tree.html#tree-algorithms-id3-c4-5-c5-0-and-cart">3.8.5. Tree algorithms: ID3, C4.5, C5.0 and CART</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/tree.html#mathematical-formulation">3.8.6. Mathematical formulation</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/tree.html#classification-criteria">3.8.6.1. Classification criteria</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/tree.html#regression-criteria">3.8.6.2. Regression criteria</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/ensemble.html">3.9. Ensemble methods</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/ensemble.html#forests-of-randomized-trees">3.9.1. Forests of randomized trees</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/ensemble.html#random-forests">3.9.1.1. Random Forests</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/ensemble.html#extremely-randomized-trees">3.9.1.2. Extremely Randomized Trees</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/ensemble.html#parameters">3.9.1.3. Parameters</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/ensemble.html#parallelization">3.9.1.4. Parallelization</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/multiclass.html">3.10. Multiclass and multilabel algorithms</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/multiclass.html#one-vs-the-rest">3.10.1. One-Vs-The-Rest</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/multiclass.html#multilabel-learning-with-ovr">3.10.1.1. Multilabel learning with OvR</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/multiclass.html#one-vs-one">3.10.2. One-Vs-One</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/multiclass.html#error-correcting-output-codes">3.10.3. Error-Correcting Output-Codes</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/feature_selection.html">3.11. Feature selection</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/feature_selection.html#univariate-feature-selection">3.11.1. Univariate feature selection</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/feature_selection.html#recursive-feature-elimination">3.11.2. Recursive feature elimination</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/feature_selection.html#l1-based-feature-selection">3.11.3. L1-based feature selection</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/feature_selection.html#selecting-non-zero-coefficients">3.11.3.1. Selecting non-zero coefficients</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/feature_selection.html#randomized-sparse-models">3.11.3.2. Randomized sparse models</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/feature_selection.html#tree-based-feature-selection">3.11.4. Tree-based feature selection</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/label_propagation.html">3.12. Semi-Supervised</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/label_propagation.html#label-propagation">3.12.1. Label Propagation</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/lda_qda.html">3.13. Linear and Quadratic Discriminant Analysis</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/lda_qda.html#dimensionality-reduction-using-lda">3.13.1. Dimensionality Reduction using LDA</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/lda_qda.html#mathematical-idea">3.13.2. Mathematical Idea</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="unsupervised_learning.html">4. Unsupervised learning</a><ul>
<li class="toctree-l2"><a class="reference internal" href="modules/mixture.html">4.1. Gaussian mixture models</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/mixture.html#gmm-classifier">4.1.1. GMM classifier</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/mixture.html#pros-and-cons-of-class-gmm-expectation-maximization-inference">4.1.1.1. Pros and cons of class <tt class="docutils literal"><span class="pre">GMM</span></tt>: expectation-maximization inference</a><ul>
<li class="toctree-l5"><a class="reference internal" href="modules/mixture.html#pros">4.1.1.1.1. Pros</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/mixture.html#cons">4.1.1.1.2. Cons</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="modules/mixture.html#selecting-the-number-of-components-in-a-classical-gmm">4.1.1.2. Selecting the number of components in a classical GMM</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/mixture.html#estimation-algorithm-expectation-maximization">4.1.1.3. Estimation algorithm Expectation-maximization</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/mixture.html#vbgmm-classifier-variational-gaussian-mixtures">4.1.2. VBGMM classifier: variational Gaussian mixtures</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/mixture.html#pros-and-cons-of-class-vbgmm-variational-inference">4.1.2.1. Pros and cons of class <tt class="docutils literal"><span class="pre">VBGMM</span></tt>: variational inference</a><ul>
<li class="toctree-l5"><a class="reference internal" href="modules/mixture.html#id2">4.1.2.1.1. Pros</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/mixture.html#id3">4.1.2.1.2. Cons</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="modules/mixture.html#estimation-algorithm-variational-inference">4.1.2.2. Estimation algorithm: variational inference</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/mixture.html#dpgmm-classifier-infinite-gaussian-mixtures">4.1.3. DPGMM classifier: Infinite Gaussian mixtures</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/mixture.html#pros-and-cons-of-class-dpgmm-diriclet-process-mixture-model">4.1.3.1. Pros and cons of class <tt class="docutils literal"><span class="pre">DPGMM</span></tt>: Diriclet process mixture model</a><ul>
<li class="toctree-l5"><a class="reference internal" href="modules/mixture.html#id4">4.1.3.1.1. Pros</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/mixture.html#id5">4.1.3.1.2. Cons</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="modules/mixture.html#the-dirichlet-process">4.1.3.2. The Dirichlet Process</a><ul>
</ul>
</li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/manifold.html">4.2. Manifold learning</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/manifold.html#introduction">4.2.1. Introduction</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/manifold.html#isomap">4.2.2. Isomap</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/manifold.html#complexity">4.2.2.1. Complexity</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/manifold.html#locally-linear-embedding">4.2.3. Locally Linear Embedding</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/manifold.html#id1">4.2.3.1. Complexity</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/manifold.html#modified-locally-linear-embedding">4.2.4. Modified Locally Linear Embedding</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/manifold.html#id2">4.2.4.1. Complexity</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/manifold.html#hessian-eigenmapping">4.2.5. Hessian Eigenmapping</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/manifold.html#id3">4.2.5.1. Complexity</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/manifold.html#local-tangent-space-alignment">4.2.6. Local Tangent Space Alignment</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/manifold.html#id4">4.2.6.1. Complexity</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/manifold.html#tips-on-practical-use">4.2.7. Tips on practical use</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/clustering.html">4.3. Clustering</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/clustering.html#k-means">4.3.1. K-means</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/clustering.html#mini-batch-k-means">4.3.1.1. Mini Batch K-Means</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/clustering.html#affinity-propagation">4.3.2. Affinity propagation</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/clustering.html#mean-shift">4.3.3. Mean Shift</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/clustering.html#spectral-clustering">4.3.4. Spectral clustering</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/clustering.html#hierarchical-clustering">4.3.5. Hierarchical clustering</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/clustering.html#adding-connectivity-constraints">4.3.5.1. Adding connectivity constraints</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/clustering.html#dbscan">4.3.6. DBSCAN</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/clustering.html#clustering-performance-evaluation">4.3.7. Clustering performance evaluation</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/clustering.html#inertia">4.3.7.1. Inertia</a><ul>
<li class="toctree-l5"><a class="reference internal" href="modules/clustering.html#presentation-and-usage">4.3.7.1.1. Presentation and usage</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/clustering.html#advantages">4.3.7.1.2. Advantages</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/clustering.html#drawbacks">4.3.7.1.3. Drawbacks</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="modules/clustering.html#adjusted-rand-index">4.3.7.2. Adjusted Rand index</a><ul>
<li class="toctree-l5"><a class="reference internal" href="modules/clustering.html#id7">4.3.7.2.1. Presentation and usage</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/clustering.html#id8">4.3.7.2.2. Advantages</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/clustering.html#id9">4.3.7.2.3. Drawbacks</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/clustering.html#mathematical-formulation">4.3.7.2.4. Mathematical formulation</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="modules/clustering.html#adjusted-mutual-information">4.3.7.3. Adjusted Mutual Information</a><ul>
<li class="toctree-l5"><a class="reference internal" href="modules/clustering.html#id10">4.3.7.3.1. Presentation and usage</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/clustering.html#id11">4.3.7.3.2. Advantages</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/clustering.html#id12">4.3.7.3.3. Drawbacks</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/clustering.html#id13">4.3.7.3.4. Mathematical formulation</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="modules/clustering.html#homogeneity-completeness-and-v-measure">4.3.7.4. Homogeneity, completeness and V-measure</a><ul>
<li class="toctree-l5"><a class="reference internal" href="modules/clustering.html#id14">4.3.7.4.1. Presentation and usage</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/clustering.html#id15">4.3.7.4.2. Advantages</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/clustering.html#id16">4.3.7.4.3. Drawbacks</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/clustering.html#id17">4.3.7.4.4. Mathematical formulation</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="modules/clustering.html#silhouette-coefficient">4.3.7.5. Silhouette Coefficient</a><ul>
<li class="toctree-l5"><a class="reference internal" href="modules/clustering.html#id19">4.3.7.5.1. Presentation and usage</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/clustering.html#id20">4.3.7.5.2. Advantages</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/clustering.html#id21">4.3.7.5.3. Drawbacks</a></li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/decomposition.html">4.4. Decomposing signals in components (matrix factorization problems)</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/decomposition.html#principal-component-analysis-pca">4.4.1. Principal component analysis (PCA)</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/decomposition.html#exact-pca-and-probabilistic-interpretation">4.4.1.1. Exact PCA and probabilistic interpretation</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/decomposition.html#approximate-pca">4.4.1.2. Approximate PCA</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/decomposition.html#kernel-pca">4.4.1.3. Kernel PCA</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/decomposition.html#sparse-principal-components-analysis-sparsepca-and-minibatchsparsepca">4.4.1.4. Sparse Principal Components Analysis (SparsePCA and MiniBatchSparsePCA)</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/decomposition.html#dictionary-learning">4.4.2. Dictionary Learning</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/decomposition.html#sparse-coding-with-a-precomputed-dictionary">4.4.2.1. Sparse coding with a precomputed dictionary</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/decomposition.html#generic-dictionary-learning">4.4.2.2. Generic dictionary learning</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/decomposition.html#mini-batch-dictionary-learning">4.4.2.3. Mini-batch dictionary learning</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/decomposition.html#independent-component-analysis-ica">4.4.3. Independent component analysis (ICA)</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/decomposition.html#non-negative-matrix-factorization-nmf-or-nnmf">4.4.4. Non-negative matrix factorization (NMF or NNMF)</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/covariance.html">4.5. Covariance estimation</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/covariance.html#empirical-covariance">4.5.1. Empirical covariance</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/covariance.html#shrunk-covariance">4.5.2. Shrunk Covariance</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/covariance.html#basic-shrinkage">4.5.2.1. Basic shrinkage</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/covariance.html#ledoit-wolf-shrinkage">4.5.2.2. Ledoit-Wolf shrinkage</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/covariance.html#oracle-approximating-shrinkage">4.5.2.3. Oracle Approximating Shrinkage</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/covariance.html#sparse-inverse-covariance">4.5.3. Sparse inverse covariance</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/covariance.html#robust-covariance-estimation">4.5.4. Robust Covariance Estimation</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/covariance.html#minimum-covariance-determinant">4.5.4.1. Minimum Covariance Determinant</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/outlier_detection.html">4.6. Novelty and Outlier Detection</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/outlier_detection.html#novelty-detection">4.6.1. Novelty Detection</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/outlier_detection.html#id1">4.6.2. Outlier Detection</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/outlier_detection.html#fitting-an-elliptic-envelop">4.6.2.1. Fitting an elliptic envelop</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/outlier_detection.html#one-class-svm-versus-elliptic-envelop">4.6.2.2. One-class SVM versus elliptic envelop</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/hmm.html">4.7. Hidden Markov Models</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="model_selection.html">5. Model Selection</a><ul>
<li class="toctree-l2"><a class="reference internal" href="modules/cross_validation.html">5.1. Cross-Validation</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/cross_validation.html#computing-cross-validated-metrics">5.1.1. Computing cross-validated metrics</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/cross_validation.html#cross-validation-iterators">5.1.2. Cross validation iterators</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/cross_validation.html#k-fold">5.1.2.1. K-fold</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/cross_validation.html#stratified-k-fold">5.1.2.2. Stratified K-Fold</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/cross_validation.html#leave-one-out-loo">5.1.2.3. Leave-One-Out - LOO</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/cross_validation.html#leave-p-out-lpo">5.1.2.4. Leave-P-Out - LPO</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/cross_validation.html#leave-one-label-out-lolo">5.1.2.5. Leave-One-Label-Out - LOLO</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/cross_validation.html#leave-p-label-out">5.1.2.6. Leave-P-Label-Out</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/cross_validation.html#random-permutations-cross-validation-a-k-a-shuffle-split">5.1.2.7. Random permutations cross-validation a.k.a. Shuffle & Split</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/cross_validation.html#bootstrapping-cross-validation">5.1.2.8. Bootstrapping cross-validation</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/cross_validation.html#cross-validation-and-model-selection">5.1.3. Cross validation and model selection</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/grid_search.html">5.2. Grid Search</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/grid_search.html#gridsearchcv">5.2.1. GridSearchCV</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/grid_search.html#examples">5.2.2. Examples</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/grid_search.html#alternatives-to-brute-force-grid-search">5.2.3. Alternatives to brute force grid search</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/grid_search.html#model-specific-cross-validation">5.2.3.1. Model specific cross-validation</a><ul>
<li class="toctree-l5"><a class="reference internal" href="modules/generated/sklearn.linear_model.RidgeCV.html">8.15.1.4. sklearn.linear_model.RidgeCV</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/generated/sklearn.linear_model.RidgeClassifierCV.html">5.2.3.1.2. sklearn.linear_model.RidgeClassifierCV</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/generated/sklearn.linear_model.LarsCV.html">8.15.1.11. sklearn.linear_model.LarsCV</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/generated/sklearn.linear_model.LassoLarsCV.html">8.15.1.12. sklearn.linear_model.LassoLarsCV</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/generated/sklearn.linear_model.LassoCV.html">8.15.1.6. sklearn.linear_model.LassoCV</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/generated/sklearn.linear_model.ElasticNetCV.html">8.15.1.8. sklearn.linear_model.ElasticNetCV</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="modules/grid_search.html#information-criterion">5.2.3.2. Information Criterion</a><ul>
<li class="toctree-l5"><a class="reference internal" href="modules/generated/sklearn.linear_model.LassoLarsIC.html">8.15.1.13. sklearn.linear_model.LassoLarsIC</a></li>
</ul>
</li>
<li class="toctree-l4"><a class="reference internal" href="modules/grid_search.html#out-of-bag-estimates">5.2.3.3. Out of Bag Estimates</a><ul>
<li class="toctree-l5"><a class="reference internal" href="modules/generated/sklearn.ensemble.RandomForestClassifier.html">8.6.1. sklearn.ensemble.RandomForestClassifier</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/generated/sklearn.ensemble.RandomForestRegressor.html">8.6.2. sklearn.ensemble.RandomForestRegressor</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/generated/sklearn.ensemble.ExtraTreesClassifier.html">8.6.3. sklearn.ensemble.ExtraTreesClassifier</a></li>
<li class="toctree-l5"><a class="reference internal" href="modules/generated/sklearn.ensemble.ExtraTreesRegressor.html">8.6.4. sklearn.ensemble.ExtraTreesRegressor</a></li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="data_transforms.html">6. Dataset transformations</a><ul>
<li class="toctree-l2"><a class="reference internal" href="modules/preprocessing.html">6.1. Preprocessing data</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/preprocessing.html#standardization-or-mean-removal-and-variance-scaling">6.1.1. Standardization or Mean Removal and Variance Scaling</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/preprocessing.html#normalization">6.1.2. Normalization</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/preprocessing.html#binarization">6.1.3. Binarization</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/preprocessing.html#feature-binarization">6.1.3.1. Feature binarization</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/feature_extraction.html">6.2. Feature extraction</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/feature_extraction.html#text-feature-extraction">6.2.1. Text feature extraction</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/feature_extraction.html#image-feature-extraction">6.2.2. Image feature extraction</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/feature_extraction.html#patch-extraction">6.2.2.1. Patch extraction</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/kernel_approximation.html">6.3. Kernel Approximation</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/kernel_approximation.html#radial-basis-function-kernel">6.3.1. Radial Basis Function Kernel</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/kernel_approximation.html#additive-chi-squared-kernel">6.3.2. Additive Chi Squared Kernel</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/kernel_approximation.html#skewed-chi-squared-kernel">6.3.3. Skewed Chi Squared Kernel</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/kernel_approximation.html#mathematical-details">6.3.4. Mathematical Details</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="datasets/index.html">7. Dataset loading utilities</a><ul>
<li class="toctree-l2"><a class="reference internal" href="datasets/index.html#general-dataset-api">7.1. General dataset API</a></li>
<li class="toctree-l2"><a class="reference internal" href="datasets/index.html#toy-datasets">7.2. Toy datasets</a></li>
<li class="toctree-l2"><a class="reference internal" href="datasets/index.html#sample-images">7.3. Sample images</a></li>
<li class="toctree-l2"><a class="reference internal" href="datasets/index.html#sample-generators">7.4. Sample generators</a></li>
<li class="toctree-l2"><a class="reference internal" href="datasets/index.html#datasets-in-svmlight-libsvm-format">7.5. Datasets in svmlight / libsvm format</a></li>
<li class="toctree-l2"><a class="reference internal" href="datasets/index.html#the-olivetti-faces-dataset">7.6. The Olivetti faces dataset</a></li>
<li class="toctree-l2"><a class="reference internal" href="datasets/index.html#the-20-newsgroups-text-dataset">7.7. The 20 newsgroups text dataset</a><ul>
<li class="toctree-l3"><a class="reference internal" href="datasets/index.html#usage">7.7.1. Usage</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="datasets/index.html#downloading-datasets-from-the-mldata-org-repository">7.8. Downloading datasets from the mldata.org repository</a></li>
<li class="toctree-l2"><a class="reference internal" href="datasets/index.html#the-labeled-faces-in-the-wild-face-recognition-dataset">7.9. The Labeled Faces in the Wild face recognition dataset</a><ul>
<li class="toctree-l3"><a class="reference internal" href="datasets/index.html#id6">7.9.1. Usage</a></li>
<li class="toctree-l3"><a class="reference internal" href="datasets/index.html#examples">7.9.2. Examples</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="modules/classes.html">8. Reference</a><ul>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.cluster">8.1. <tt class="docutils literal"><span class="pre">sklearn.cluster</span></tt>: Clustering</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.cluster.AffinityPropagation.html">8.1.1. sklearn.cluster.AffinityPropagation</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.cluster.DBSCAN.html">8.1.2. sklearn.cluster.DBSCAN</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.cluster.KMeans.html">8.1.3. sklearn.cluster.KMeans</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.cluster.MiniBatchKMeans.html">8.1.4. sklearn.cluster.MiniBatchKMeans</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.cluster.MeanShift.html">8.1.5. sklearn.cluster.MeanShift</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.cluster.SpectralClustering.html">8.1.6. sklearn.cluster.SpectralClustering</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.cluster.Ward.html">8.1.7. sklearn.cluster.Ward</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.cluster.estimate_bandwidth.html">8.1.8. sklearn.cluster.estimate_bandwidth</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.covariance">8.2. <tt class="docutils literal"><span class="pre">sklearn.covariance</span></tt>: Covariance Estimators</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.covariance.EmpiricalCovariance.html">8.2.1. sklearn.covariance.EmpiricalCovariance</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.covariance.ShrunkCovariance.html">8.2.2. sklearn.covariance.ShrunkCovariance</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.covariance.LedoitWolf.html">8.2.3. sklearn.covariance.LedoitWolf</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.covariance.OAS.html">8.2.4. sklearn.covariance.OAS</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.covariance.GraphLasso.html">8.2.5. sklearn.covariance.GraphLasso</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.covariance.GraphLassoCV.html">8.2.6. sklearn.covariance.GraphLassoCV</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.covariance.MinCovDet.html">8.2.7. sklearn.covariance.MinCovDet</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.covariance.empirical_covariance.html">8.2.8. sklearn.covariance.empirical_covariance</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.covariance.ledoit_wolf.html">8.2.9. sklearn.covariance.ledoit_wolf</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.covariance.shrunk_covariance.html">8.2.10. sklearn.covariance.shrunk_covariance</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.covariance.oas.html">8.2.11. sklearn.covariance.oas</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.covariance.graph_lasso.html">8.2.12. sklearn.covariance.graph_lasso</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.cross_validation">8.3. <tt class="docutils literal"><span class="pre">sklearn.cross_validation</span></tt>: Cross Validation</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.cross_validation.Bootstrap.html">8.3.1. sklearn.cross_validation.Bootstrap</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.cross_validation.KFold.html">8.3.2. sklearn.cross_validation.KFold</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.cross_validation.LeaveOneLabelOut.html">8.3.3. sklearn.cross_validation.LeaveOneLabelOut</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.cross_validation.LeaveOneOut.html">8.3.4. sklearn.cross_validation.LeaveOneOut</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.cross_validation.LeavePLabelOut.html">8.3.5. sklearn.cross_validation.LeavePLabelOut</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.cross_validation.LeavePOut.html">8.3.6. sklearn.cross_validation.LeavePOut</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.cross_validation.StratifiedKFold.html">8.3.7. sklearn.cross_validation.StratifiedKFold</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.cross_validation.ShuffleSplit.html">8.3.8. sklearn.cross_validation.ShuffleSplit</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.cross_validation.train_test_split.html">8.3.9. sklearn.cross_validation.train_test_split</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.cross_validation.cross_val_score.html">8.3.10. sklearn.cross_validation.cross_val_score</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.cross_validation.permutation_test_score.html">8.3.11. sklearn.cross_validation.permutation_test_score</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.cross_validation.check_cv.html">8.3.12. sklearn.cross_validation.check_cv</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.datasets">8.4. <tt class="docutils literal"><span class="pre">sklearn.datasets</span></tt>: Datasets</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/classes.html#loaders">8.4.1. Loaders</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.load_20newsgroups.html">8.4.1.1. sklearn.datasets.load_20newsgroups</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.fetch_20newsgroups.html">8.4.1.2. sklearn.datasets.fetch_20newsgroups</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.fetch_20newsgroups_vectorized.html">8.4.1.3. sklearn.datasets.fetch_20newsgroups_vectorized</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.load_boston.html">8.4.1.4. sklearn.datasets.load_boston</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.load_diabetes.html">8.4.1.5. sklearn.datasets.load_diabetes</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.load_digits.html">8.4.1.6. sklearn.datasets.load_digits</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.load_files.html">8.4.1.7. sklearn.datasets.load_files</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.load_iris.html">8.4.1.8. sklearn.datasets.load_iris</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.load_lfw_pairs.html">8.4.1.9. sklearn.datasets.load_lfw_pairs</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.fetch_lfw_pairs.html">8.4.1.10. sklearn.datasets.fetch_lfw_pairs</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.load_lfw_people.html">8.4.1.11. sklearn.datasets.load_lfw_people</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.fetch_lfw_people.html">8.4.1.12. sklearn.datasets.fetch_lfw_people</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.load_linnerud.html">8.4.1.13. sklearn.datasets.load_linnerud</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.fetch_olivetti_faces.html">8.4.1.14. sklearn.datasets.fetch_olivetti_faces</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.load_sample_image.html">8.4.1.15. sklearn.datasets.load_sample_image</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.load_sample_images.html">8.4.1.16. sklearn.datasets.load_sample_images</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.load_svmlight_file.html">8.4.1.17. sklearn.datasets.load_svmlight_file</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/classes.html#samples-generator">8.4.2. Samples generator</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.make_blobs.html">8.4.2.1. sklearn.datasets.make_blobs</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.make_classification.html">8.4.2.2. sklearn.datasets.make_classification</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.make_circles.html">8.4.2.3. sklearn.datasets.make_circles</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.make_friedman1.html">8.4.2.4. sklearn.datasets.make_friedman1</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.make_friedman2.html">8.4.2.5. sklearn.datasets.make_friedman2</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.make_friedman3.html">8.4.2.6. sklearn.datasets.make_friedman3</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.make_low_rank_matrix.html">8.4.2.7. sklearn.datasets.make_low_rank_matrix</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.make_moons.html">8.4.2.8. sklearn.datasets.make_moons</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.make_multilabel_classification.html">8.4.2.9. sklearn.datasets.make_multilabel_classification</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.make_regression.html">8.4.2.10. sklearn.datasets.make_regression</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.make_s_curve.html">8.4.2.11. sklearn.datasets.make_s_curve</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.make_sparse_coded_signal.html">8.4.2.12. sklearn.datasets.make_sparse_coded_signal</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.make_sparse_spd_matrix.html">8.4.2.13. sklearn.datasets.make_sparse_spd_matrix</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.make_sparse_uncorrelated.html">8.4.2.14. sklearn.datasets.make_sparse_uncorrelated</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.make_spd_matrix.html">8.4.2.15. sklearn.datasets.make_spd_matrix</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.datasets.make_swiss_roll.html">8.4.2.16. sklearn.datasets.make_swiss_roll</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.decomposition">8.5. <tt class="docutils literal"><span class="pre">sklearn.decomposition</span></tt>: Matrix Decomposition</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.decomposition.PCA.html">8.5.1. sklearn.decomposition.PCA</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.decomposition.ProbabilisticPCA.html">8.5.2. sklearn.decomposition.ProbabilisticPCA</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.decomposition.ProjectedGradientNMF.html">8.5.3. sklearn.decomposition.ProjectedGradientNMF</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.decomposition.RandomizedPCA.html">8.5.4. sklearn.decomposition.RandomizedPCA</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.decomposition.KernelPCA.html">8.5.5. sklearn.decomposition.KernelPCA</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.decomposition.FastICA.html">8.5.6. sklearn.decomposition.FastICA</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.decomposition.NMF.html">8.5.7. sklearn.decomposition.NMF</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.decomposition.SparsePCA.html">8.5.8. sklearn.decomposition.SparsePCA</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.decomposition.MiniBatchSparsePCA.html">8.5.9. sklearn.decomposition.MiniBatchSparsePCA</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.decomposition.SparseCoder.html">8.5.10. sklearn.decomposition.SparseCoder</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.decomposition.DictionaryLearning.html">8.5.11. sklearn.decomposition.DictionaryLearning</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html">8.5.12. sklearn.decomposition.MiniBatchDictionaryLearning</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.decomposition.fastica.html">8.5.13. sklearn.decomposition.fastica</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.decomposition.dict_learning.html">8.5.14. sklearn.decomposition.dict_learning</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.decomposition.dict_learning_online.html">8.5.15. sklearn.decomposition.dict_learning_online</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.decomposition.sparse_encode.html">8.5.16. sklearn.decomposition.sparse_encode</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.ensemble">8.6. <tt class="docutils literal"><span class="pre">sklearn.ensemble</span></tt>: Ensemble Methods</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.ensemble.RandomForestClassifier.html">8.6.1. sklearn.ensemble.RandomForestClassifier</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.ensemble.RandomForestRegressor.html">8.6.2. sklearn.ensemble.RandomForestRegressor</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.ensemble.ExtraTreesClassifier.html">8.6.3. sklearn.ensemble.ExtraTreesClassifier</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.ensemble.ExtraTreesRegressor.html">8.6.4. sklearn.ensemble.ExtraTreesRegressor</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.feature_extraction">8.7. <tt class="docutils literal"><span class="pre">sklearn.feature_extraction</span></tt>: Feature Extraction</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/classes.html#module-sklearn.feature_extraction.image">8.7.1. From images</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.feature_extraction.image.img_to_graph.html">8.7.1.1. sklearn.feature_extraction.image.img_to_graph</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.feature_extraction.image.grid_to_graph.html">8.7.1.2. sklearn.feature_extraction.image.grid_to_graph</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.feature_extraction.image.extract_patches_2d.html">8.7.1.3. sklearn.feature_extraction.image.extract_patches_2d</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.feature_extraction.image.reconstruct_from_patches_2d.html">8.7.1.4. sklearn.feature_extraction.image.reconstruct_from_patches_2d</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.feature_extraction.image.PatchExtractor.html">8.7.1.5. sklearn.feature_extraction.image.PatchExtractor</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/classes.html#module-sklearn.feature_extraction.text">8.7.2. From text</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.feature_extraction.text.RomanPreprocessor.html">8.7.2.1. sklearn.feature_extraction.text.RomanPreprocessor</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.feature_extraction.text.WordNGramAnalyzer.html">8.7.2.2. sklearn.feature_extraction.text.WordNGramAnalyzer</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.feature_extraction.text.CharNGramAnalyzer.html">8.7.2.3. sklearn.feature_extraction.text.CharNGramAnalyzer</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.feature_extraction.text.CountVectorizer.html">8.7.2.4. sklearn.feature_extraction.text.CountVectorizer</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.feature_extraction.text.TfidfTransformer.html">8.7.2.5. sklearn.feature_extraction.text.TfidfTransformer</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.feature_extraction.text.Vectorizer.html">8.7.2.6. sklearn.feature_extraction.text.Vectorizer</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.feature_selection">8.8. <tt class="docutils literal"><span class="pre">sklearn.feature_selection</span></tt>: Feature Selection</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.feature_selection.SelectPercentile.html">8.8.1. sklearn.feature_selection.SelectPercentile</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.feature_selection.SelectKBest.html">8.8.2. sklearn.feature_selection.SelectKBest</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.feature_selection.SelectFpr.html">8.8.3. sklearn.feature_selection.SelectFpr</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.feature_selection.SelectFdr.html">8.8.4. sklearn.feature_selection.SelectFdr</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.feature_selection.SelectFwe.html">8.8.5. sklearn.feature_selection.SelectFwe</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.feature_selection.RFE.html">8.8.6. sklearn.feature_selection.RFE</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.feature_selection.RFECV.html">8.8.7. sklearn.feature_selection.RFECV</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.feature_selection.chi2.html">8.8.8. sklearn.feature_selection.chi2</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.feature_selection.f_classif.html">8.8.9. sklearn.feature_selection.f_classif</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.feature_selection.f_regression.html">8.8.10. sklearn.feature_selection.f_regression</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.gaussian_process">8.9. <tt class="docutils literal"><span class="pre">sklearn.gaussian_process</span></tt>: Gaussian Processes</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.gaussian_process.GaussianProcess.html">8.9.1. sklearn.gaussian_process.GaussianProcess</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.gaussian_process.correlation_models.absolute_exponential.html">8.9.2. sklearn.gaussian_process.correlation_models.absolute_exponential</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.gaussian_process.correlation_models.squared_exponential.html">8.9.3. sklearn.gaussian_process.correlation_models.squared_exponential</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.gaussian_process.correlation_models.generalized_exponential.html">8.9.4. sklearn.gaussian_process.correlation_models.generalized_exponential</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.gaussian_process.correlation_models.pure_nugget.html">8.9.5. sklearn.gaussian_process.correlation_models.pure_nugget</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.gaussian_process.correlation_models.cubic.html">8.9.6. sklearn.gaussian_process.correlation_models.cubic</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.gaussian_process.correlation_models.linear.html">8.9.7. sklearn.gaussian_process.correlation_models.linear</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.gaussian_process.regression_models.constant.html">8.9.8. sklearn.gaussian_process.regression_models.constant</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.gaussian_process.regression_models.linear.html">8.9.9. sklearn.gaussian_process.regression_models.linear</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.gaussian_process.regression_models.quadratic.html">8.9.10. sklearn.gaussian_process.regression_models.quadratic</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.grid_search">8.10. <tt class="docutils literal"><span class="pre">sklearn.grid_search</span></tt>: Grid Search</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.grid_search.GridSearchCV.html">8.10.1. sklearn.grid_search.GridSearchCV</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.grid_search.IterGrid.html">8.10.2. sklearn.grid_search.IterGrid</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.hmm">8.11. <tt class="docutils literal"><span class="pre">sklearn.hmm</span></tt>: Hidden Markov Models</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.hmm.GaussianHMM.html">8.11.1. sklearn.hmm.GaussianHMM</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.hmm.MultinomialHMM.html">8.11.2. sklearn.hmm.MultinomialHMM</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.hmm.GMMHMM.html">8.11.3. sklearn.hmm.GMMHMM</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.kernel_approximation">8.12. <tt class="docutils literal"><span class="pre">sklearn.kernel_approximation</span></tt> Kernel Approximation</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.kernel_approximation.RBFSampler.html">8.12.1. sklearn.kernel_approximation.RBFSampler</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.kernel_approximation.AdditiveChi2Sampler.html">8.12.2. sklearn.kernel_approximation.AdditiveChi2Sampler</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.kernel_approximation.SkewedChi2Sampler.html">8.12.3. sklearn.kernel_approximation.SkewedChi2Sampler</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.semi_supervised">8.13. <tt class="docutils literal"><span class="pre">sklearn.semi_supervised</span></tt> Semi-Supervised Learning</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.semi_supervised.LabelPropagation.html">8.13.1. sklearn.semi_supervised.LabelPropagation</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.semi_supervised.LabelSpreading.html">8.13.2. sklearn.semi_supervised.LabelSpreading</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.lda">8.14. <tt class="docutils literal"><span class="pre">sklearn.lda</span></tt>: Linear Discriminant Analysis</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.lda.LDA.html">8.14.1. sklearn.lda.LDA</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.linear_model">8.15. <tt class="docutils literal"><span class="pre">sklearn.linear_model</span></tt>: Generalized Linear Models</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/classes.html#for-dense-data">8.15.1. For dense data</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.LinearRegression.html">8.15.1.1. sklearn.linear_model.LinearRegression</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.Ridge.html">8.15.1.2. sklearn.linear_model.Ridge</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.RidgeClassifier.html">8.15.1.3. sklearn.linear_model.RidgeClassifier</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.RidgeCV.html">8.15.1.4. sklearn.linear_model.RidgeCV</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.Lasso.html">8.15.1.5. sklearn.linear_model.Lasso</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.LassoCV.html">8.15.1.6. sklearn.linear_model.LassoCV</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.ElasticNet.html">8.15.1.7. sklearn.linear_model.ElasticNet</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.ElasticNetCV.html">8.15.1.8. sklearn.linear_model.ElasticNetCV</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.Lars.html">8.15.1.9. sklearn.linear_model.Lars</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.LassoLars.html">8.15.1.10. sklearn.linear_model.LassoLars</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.LarsCV.html">8.15.1.11. sklearn.linear_model.LarsCV</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.LassoLarsCV.html">8.15.1.12. sklearn.linear_model.LassoLarsCV</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.LassoLarsIC.html">8.15.1.13. sklearn.linear_model.LassoLarsIC</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.LogisticRegression.html">8.15.2.5. sklearn.linear_model.LogisticRegression</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html">8.15.1.15. sklearn.linear_model.OrthogonalMatchingPursuit</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.Perceptron.html">8.15.1.16. sklearn.linear_model.Perceptron</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.SGDClassifier.html">8.15.1.17. sklearn.linear_model.SGDClassifier</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.SGDRegressor.html">8.15.1.18. sklearn.linear_model.SGDRegressor</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.BayesianRidge.html">8.15.1.19. sklearn.linear_model.BayesianRidge</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.ARDRegression.html">8.15.1.20. sklearn.linear_model.ARDRegression</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.RandomizedLasso.html">8.15.1.21. sklearn.linear_model.RandomizedLasso</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.RandomizedLogisticRegression.html">8.15.1.22. sklearn.linear_model.RandomizedLogisticRegression</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.lasso_path.html">8.15.1.23. sklearn.linear_model.lasso_path</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.lars_path.html">8.15.1.24. sklearn.linear_model.lars_path</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.orthogonal_mp.html">8.15.1.25. sklearn.linear_model.orthogonal_mp</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.orthogonal_mp_gram.html">8.15.1.26. sklearn.linear_model.orthogonal_mp_gram</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.lasso_stability_path.html">8.15.1.27. sklearn.linear_model.lasso_stability_path</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/classes.html#module-sklearn.linear_model.sparse">8.15.2. For sparse data</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.sparse.Lasso.html">8.15.2.1. sklearn.linear_model.sparse.Lasso</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.sparse.ElasticNet.html">8.15.2.2. sklearn.linear_model.sparse.ElasticNet</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.sparse.SGDClassifier.html">8.15.2.3. sklearn.linear_model.sparse.SGDClassifier</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.sparse.SGDRegressor.html">8.15.2.4. sklearn.linear_model.sparse.SGDRegressor</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.linear_model.LogisticRegression.html">8.15.2.5. sklearn.linear_model.LogisticRegression</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.manifold">8.16. <tt class="docutils literal"><span class="pre">sklearn.manifold</span></tt>: Manifold Learning</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.manifold.LocallyLinearEmbedding.html">8.16.1. sklearn.manifold.LocallyLinearEmbedding</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.manifold.Isomap.html">8.16.2. sklearn.manifold.Isomap</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.manifold.locally_linear_embedding.html">8.16.3. sklearn.manifold.locally_linear_embedding</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.metrics">8.17. <tt class="docutils literal"><span class="pre">sklearn.metrics</span></tt>: Metrics</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/classes.html#classification-metrics">8.17.1. Classification metrics</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.confusion_matrix.html">8.17.1.1. sklearn.metrics.confusion_matrix</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.roc_curve.html">8.17.1.2. sklearn.metrics.roc_curve</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.auc.html">8.17.1.3. sklearn.metrics.auc</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.precision_score.html">8.17.1.4. sklearn.metrics.precision_score</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.recall_score.html">8.17.1.5. sklearn.metrics.recall_score</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.fbeta_score.html">8.17.1.6. sklearn.metrics.fbeta_score</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.f1_score.html">8.17.1.7. sklearn.metrics.f1_score</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.precision_recall_fscore_support.html">8.17.1.8. sklearn.metrics.precision_recall_fscore_support</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.classification_report.html">8.17.1.9. sklearn.metrics.classification_report</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.precision_recall_curve.html">8.17.1.10. sklearn.metrics.precision_recall_curve</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.zero_one_score.html">8.17.1.11. sklearn.metrics.zero_one_score</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.zero_one.html">8.17.1.12. sklearn.metrics.zero_one</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.hinge_loss.html">8.17.1.13. sklearn.metrics.hinge_loss</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/classes.html#regression-metrics">8.17.2. Regression metrics</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.r2_score.html">8.17.2.1. sklearn.metrics.r2_score</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.mean_squared_error.html">8.17.2.2. sklearn.metrics.mean_squared_error</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/classes.html#clustering-metrics">8.17.3. Clustering metrics</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.adjusted_rand_score.html">8.17.3.1. sklearn.metrics.adjusted_rand_score</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.adjusted_mutual_info_score.html">8.17.3.2. sklearn.metrics.adjusted_mutual_info_score</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.homogeneity_completeness_v_measure.html">8.17.3.3. sklearn.metrics.homogeneity_completeness_v_measure</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.homogeneity_score.html">8.17.3.4. sklearn.metrics.homogeneity_score</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.completeness_score.html">8.17.3.5. sklearn.metrics.completeness_score</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.v_measure_score.html">8.17.3.6. sklearn.metrics.v_measure_score</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.silhouette_score.html">8.17.3.7. sklearn.metrics.silhouette_score</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="modules/classes.html#module-sklearn.metrics.pairwise">8.17.4. Pairwise metrics</a><ul>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.pairwise.euclidean_distances.html">8.17.4.1. sklearn.metrics.pairwise.euclidean_distances</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.pairwise.manhattan_distances.html">8.17.4.2. sklearn.metrics.pairwise.manhattan_distances</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.pairwise.linear_kernel.html">8.17.4.3. sklearn.metrics.pairwise.linear_kernel</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.pairwise.polynomial_kernel.html">8.17.4.4. sklearn.metrics.pairwise.polynomial_kernel</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.pairwise.rbf_kernel.html">8.17.4.5. sklearn.metrics.pairwise.rbf_kernel</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.pairwise.distance_metrics.html">8.17.4.6. sklearn.metrics.pairwise.distance_metrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.pairwise.pairwise_distances.html">8.17.4.7. sklearn.metrics.pairwise.pairwise_distances</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.pairwise.kernel_metrics.html">8.17.4.8. sklearn.metrics.pairwise.kernel_metrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="modules/generated/sklearn.metrics.pairwise.pairwise_kernels.html">8.17.4.9. sklearn.metrics.pairwise.pairwise_kernels</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.mixture">8.18. <tt class="docutils literal"><span class="pre">sklearn.mixture</span></tt>: Gaussian Mixture Models</a><ul>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.mixture.GMM.html">8.18.1. sklearn.mixture.GMM</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.mixture.DPGMM.html">8.18.2. sklearn.mixture.DPGMM</a></li>
<li class="toctree-l3"><a class="reference internal" href="modules/generated/sklearn.mixture.VBGMM.html">8.18.3. sklearn.mixture.VBGMM</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.multiclass">8.19. <tt class="docutils literal"><span class="pre">sklearn.multiclass</span></tt>: Multiclass and multilabel classification</a><ul>