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<h1>Table Of Contents<a class="headerlink" href="#table-of-contents" title="Permalink to this heading">¶</a></h1>
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<li class="toctree-l1"><a class="reference internal" href="preface.html">Welcome to scikit-learn</a><ul>
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<li class="toctree-l2"><a class="reference internal" href="roadmap.html">Roadmap</a></li>
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<li class="toctree-l2"><a class="reference internal" href="tutorial/basic/tutorial.html">An introduction to machine learning with scikit-learn</a></li>
<li class="toctree-l2"><a class="reference internal" href="tutorial/statistical_inference/index.html">A tutorial on statistical-learning for scientific data processing</a></li>
<li class="toctree-l2"><a class="reference internal" href="tutorial/text_analytics/working_with_text_data.html">Working With Text Data</a></li>
<li class="toctree-l2"><a class="reference internal" href="tutorial/machine_learning_map/index.html">Choosing the right estimator</a></li>
<li class="toctree-l2"><a class="reference internal" href="presentations.html">External Resources, Videos and Talks</a></li>
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<li class="toctree-l1"><a class="reference internal" href="getting_started.html">Getting Started</a><ul>
<li class="toctree-l2"><a class="reference internal" href="getting_started.html#fitting-and-predicting-estimator-basics">Fitting and predicting: estimator basics</a></li>
<li class="toctree-l2"><a class="reference internal" href="getting_started.html#transformers-and-pre-processors">Transformers and pre-processors</a></li>
<li class="toctree-l2"><a class="reference internal" href="getting_started.html#pipelines-chaining-pre-processors-and-estimators">Pipelines: chaining pre-processors and estimators</a></li>
<li class="toctree-l2"><a class="reference internal" href="getting_started.html#model-evaluation">Model evaluation</a></li>
<li class="toctree-l2"><a class="reference internal" href="getting_started.html#automatic-parameter-searches">Automatic parameter searches</a></li>
<li class="toctree-l2"><a class="reference internal" href="getting_started.html#next-steps">Next steps</a></li>
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<li class="toctree-l1"><a class="reference internal" href="user_guide.html">User Guide</a><ul>
<li class="toctree-l2"><a class="reference internal" href="supervised_learning.html">1. Supervised learning</a></li>
<li class="toctree-l2"><a class="reference internal" href="unsupervised_learning.html">2. Unsupervised learning</a></li>
<li class="toctree-l2"><a class="reference internal" href="model_selection.html">3. Model selection and evaluation</a></li>
<li class="toctree-l2"><a class="reference internal" href="inspection.html">4. Inspection</a></li>
<li class="toctree-l2"><a class="reference internal" href="visualizations.html">5. Visualizations</a></li>
<li class="toctree-l2"><a class="reference internal" href="data_transforms.html">6. Dataset transformations</a></li>
<li class="toctree-l2"><a class="reference internal" href="datasets.html">7. Dataset loading utilities</a></li>
<li class="toctree-l2"><a class="reference internal" href="computing.html">8. Computing with scikit-learn</a></li>
<li class="toctree-l2"><a class="reference internal" href="model_persistence.html">9. Model persistence</a></li>
<li class="toctree-l2"><a class="reference internal" href="common_pitfalls.html">10. Common pitfalls and recommended practices</a></li>
<li class="toctree-l2"><a class="reference internal" href="dispatching.html">11. Dispatching</a></li>
<li class="toctree-l2"><a class="reference internal" href="user_guide.html#under-development">Under Development</a></li>
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<li class="toctree-l1"><a class="reference internal" href="glossary.html">Glossary of Common Terms and API Elements</a><ul>
<li class="toctree-l2"><a class="reference internal" href="glossary.html#general-concepts">General Concepts</a></li>
<li class="toctree-l2"><a class="reference internal" href="glossary.html#class-apis-and-estimator-types">Class APIs and Estimator Types</a></li>
<li class="toctree-l2"><a class="reference internal" href="glossary.html#target-types">Target Types</a></li>
<li class="toctree-l2"><a class="reference internal" href="glossary.html#methods">Methods</a></li>
<li class="toctree-l2"><a class="reference internal" href="glossary.html#parameters">Parameters</a></li>
<li class="toctree-l2"><a class="reference internal" href="glossary.html#attributes">Attributes</a></li>
<li class="toctree-l2"><a class="reference internal" href="glossary.html#data-and-sample-properties">Data and sample properties</a></li>
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</li>
<li class="toctree-l1"><a class="reference internal" href="auto_examples/index.html">Examples</a><ul>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#release-highlights">Release Highlights</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#biclustering">Biclustering</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#calibration">Calibration</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#classification">Classification</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#clustering">Clustering</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#covariance-estimation">Covariance estimation</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#cross-decomposition">Cross decomposition</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#dataset-examples">Dataset examples</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#decision-trees">Decision Trees</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#decomposition">Decomposition</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#ensemble-methods">Ensemble methods</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#examples-based-on-real-world-datasets">Examples based on real world datasets</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#feature-selection">Feature Selection</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#gaussian-mixture-models">Gaussian Mixture Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#gaussian-process-for-machine-learning">Gaussian Process for Machine Learning</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#generalized-linear-models">Generalized Linear Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#inspection">Inspection</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#kernel-approximation">Kernel Approximation</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#manifold-learning">Manifold learning</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#miscellaneous">Miscellaneous</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#missing-value-imputation">Missing Value Imputation</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#model-selection">Model Selection</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#multioutput-methods">Multioutput methods</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#nearest-neighbors">Nearest Neighbors</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#neural-networks">Neural Networks</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#pipelines-and-composite-estimators">Pipelines and composite estimators</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#preprocessing">Preprocessing</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#semi-supervised-classification">Semi Supervised Classification</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#support-vector-machines">Support Vector Machines</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#tutorial-exercises">Tutorial exercises</a></li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#working-with-text-documents">Working with text documents</a></li>
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<li class="toctree-l1"><a class="reference internal" href="modules/classes.html">API Reference</a><ul>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.base"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.base</span></code>: Base classes and utility functions</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.calibration"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.calibration</span></code>: Probability Calibration</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.cluster"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.cluster</span></code>: Clustering</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.compose"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.compose</span></code>: Composite Estimators</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.covariance"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.covariance</span></code>: Covariance Estimators</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.cross_decomposition"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.cross_decomposition</span></code>: Cross decomposition</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.datasets"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.datasets</span></code>: Datasets</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.decomposition"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.decomposition</span></code>: Matrix Decomposition</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.discriminant_analysis"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.discriminant_analysis</span></code>: Discriminant Analysis</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.dummy"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.dummy</span></code>: Dummy estimators</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.ensemble"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.ensemble</span></code>: Ensemble Methods</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.exceptions"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.exceptions</span></code>: Exceptions and warnings</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.experimental"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.experimental</span></code>: Experimental</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.feature_extraction"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.feature_extraction</span></code>: Feature Extraction</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.feature_selection"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.feature_selection</span></code>: Feature Selection</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.gaussian_process"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.gaussian_process</span></code>: Gaussian Processes</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.impute"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.impute</span></code>: Impute</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.inspection"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.inspection</span></code>: Inspection</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.isotonic"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.isotonic</span></code>: Isotonic regression</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.kernel_approximation"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.kernel_approximation</span></code>: Kernel Approximation</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.kernel_ridge"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.kernel_ridge</span></code>: Kernel Ridge Regression</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.linear_model"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.linear_model</span></code>: Linear Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.manifold"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.manifold</span></code>: Manifold Learning</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#sklearn-metrics-metrics"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.metrics</span></code>: Metrics</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.mixture"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.mixture</span></code>: Gaussian Mixture Models</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.model_selection"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.model_selection</span></code>: Model Selection</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.multiclass"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.multiclass</span></code>: Multiclass classification</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.multioutput"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.multioutput</span></code>: Multioutput regression and classification</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.naive_bayes"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.naive_bayes</span></code>: Naive Bayes</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.neighbors"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.neighbors</span></code>: Nearest Neighbors</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.neural_network"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.neural_network</span></code>: Neural network models</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.pipeline"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.pipeline</span></code>: Pipeline</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.preprocessing"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.preprocessing</span></code>: Preprocessing and Normalization</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.random_projection"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.random_projection</span></code>: Random projection</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.semi_supervised"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.semi_supervised</span></code>: Semi-Supervised Learning</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.svm"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.svm</span></code>: Support Vector Machines</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.tree"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.tree</span></code>: Decision Trees</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#module-sklearn.utils"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.utils</span></code>: Utilities</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/classes.html#recently-deprecated">Recently deprecated</a></li>
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<li class="toctree-l1"><a class="reference internal" href="developers/index.html">Developer’s Guide</a><ul>
<li class="toctree-l2"><a class="reference internal" href="developers/contributing.html">Contributing</a></li>
<li class="toctree-l2"><a class="reference internal" href="developers/minimal_reproducer.html">Crafting a minimal reproducer for scikit-learn</a></li>
<li class="toctree-l2"><a class="reference internal" href="developers/develop.html">Developing scikit-learn estimators</a></li>
<li class="toctree-l2"><a class="reference internal" href="developers/tips.html">Developers’ Tips and Tricks</a></li>
<li class="toctree-l2"><a class="reference internal" href="developers/utilities.html">Utilities for Developers</a></li>
<li class="toctree-l2"><a class="reference internal" href="developers/performance.html">How to optimize for speed</a></li>
<li class="toctree-l2"><a class="reference internal" href="developers/cython.html">Cython Best Practices, Conventions and Knowledge</a></li>
<li class="toctree-l2"><a class="reference internal" href="developers/advanced_installation.html">Installing the development version of scikit-learn</a></li>
<li class="toctree-l2"><a class="reference internal" href="developers/bug_triaging.html">Bug triaging and issue curation</a></li>
<li class="toctree-l2"><a class="reference internal" href="developers/maintainer.html">Maintainer / core-developer information</a></li>
<li class="toctree-l2"><a class="reference internal" href="developers/plotting.html">Developing with the Plotting API</a></li>
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