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        <h3>Contents</h3>
         <ul>
<li><a class="reference internal" href="#">6. Class reference</a><ul>
<li><a class="reference internal" href="#support-vector-machines">6.1. Support Vector Machines</a><ul>
<li><a class="reference internal" href="#for-sparse-data">6.1.1. For sparse data</a><ul>
</ul>
</li>
</ul>
</li>
<li><a class="reference internal" href="#generalized-linear-models">6.2. Generalized Linear Models</a><ul>
<li><a class="reference internal" href="#id1">6.2.1. For sparse data</a><ul>
</ul>
</li>
</ul>
</li>
<li><a class="reference internal" href="#bayesian-regression">6.3. Bayesian Regression</a><ul>
</ul>
</li>
<li><a class="reference internal" href="#naive-bayes">6.4. Naive Bayes</a><ul>
</ul>
</li>
<li><a class="reference internal" href="#nearest-neighbors">6.5. Nearest Neighbors</a><ul>
</ul>
</li>
<li><a class="reference internal" href="#gaussian-mixture-models">6.6. Gaussian Mixture Models</a><ul>
</ul>
</li>
<li><a class="reference internal" href="#hidden-markov-models">6.7. Hidden Markov Models</a><ul>
</ul>
</li>
<li><a class="reference internal" href="#clustering">6.8. Clustering</a><ul>
</ul>
</li>
<li><a class="reference internal" href="#covariance-estimators">6.9. Covariance Estimators</a><ul>
</ul>
</li>
<li><a class="reference internal" href="#signal-decomposition">6.10. Signal Decomposition</a><ul>
</ul>
</li>
<li><a class="reference internal" href="#cross-validation">6.11. Cross Validation</a><ul>
</ul>
</li>
<li><a class="reference internal" href="#grid-search">6.12. Grid Search</a><ul>
</ul>
</li>
<li><a class="reference internal" href="#feature-selection">6.13. Feature Selection</a><ul>
</ul>
</li>
<li><a class="reference internal" href="#feature-extraction">6.14. Feature Extraction</a><ul>
<li><a class="reference internal" href="#id2">6.14.1. For sparse data</a><ul>
</ul>
</li>
</ul>
</li>
<li><a class="reference internal" href="#pipeline">6.15. Pipeline</a><ul>
</ul>
</li>
</ul>
</li>
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  <div class="section" id="class-reference">
<h1>6. Class reference<a class="headerlink" href="#class-reference" title="Permalink to this headline">¶</a></h1>
<div class="section" id="support-vector-machines">
<h2>6.1. Support Vector Machines<a class="headerlink" href="#support-vector-machines" title="Permalink to this headline">¶</a></h2>
<table border="1" class="docutils">
<colgroup>
<col width="10%" />
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">svm.SVC</span></tt></td>
<td></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">svm.LinearSVC</span></tt></td>
<td></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">svm.NuSVC</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">svm.SVR</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">svm.NuSVR</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">svm.OneClassSVM</span></tt></td>
<td></td>
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</tbody>
</table>
<div class="section" id="for-sparse-data">
<h3>6.1.1. For sparse data<a class="headerlink" href="#for-sparse-data" title="Permalink to this headline">¶</a></h3>
<table border="1" class="docutils">
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">svm.sparse.SVC</span></tt></td>
<td></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">svm.sparse.NuSVC</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">svm.sparse.SVR</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">svm.sparse.NuSVR</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">svm.sparse.OneClassSVM</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">svm.sparse.LinearSVC</span></tt></td>
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</div>
<div class="section" id="generalized-linear-models">
<h2>6.2. Generalized Linear Models<a class="headerlink" href="#generalized-linear-models" title="Permalink to this headline">¶</a></h2>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">linear_model.LinearRegression</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">linear_model.Ridge</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">linear_model.Lasso</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">linear_model.LassoCV</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">linear_model.ElasticNet</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">linear_model.ElasticNetCV</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">linear_model.LARS</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">linear_model.LassoLARS</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">linear_model.LogisticRegression</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">linear_model.SGDClassifier</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">linear_model.SGDRegressor</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">linear_model.lasso_path</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">linear_model.lars_path</span></tt></td>
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<div class="section" id="id1">
<h3>6.2.1. For sparse data<a class="headerlink" href="#id1" title="Permalink to this headline">¶</a></h3>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">linear_model.sparse.Lasso</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">linear_model.sparse.ElasticNet</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">linear_model.sparse.SGDClassifier</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">linear_model.sparse.SGDRegressor</span></tt></td>
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</div>
<div class="section" id="bayesian-regression">
<h2>6.3. Bayesian Regression<a class="headerlink" href="#bayesian-regression" title="Permalink to this headline">¶</a></h2>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">linear_model.BayesianRidge</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">linear_model.ARDRegression</span></tt></td>
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</div>
<div class="section" id="naive-bayes">
<h2>6.4. Naive Bayes<a class="headerlink" href="#naive-bayes" title="Permalink to this headline">¶</a></h2>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">naive_bayes.GNB</span></tt></td>
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<div class="section" id="nearest-neighbors">
<h2>6.5. Nearest Neighbors<a class="headerlink" href="#nearest-neighbors" title="Permalink to this headline">¶</a></h2>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">neighbors.Neighbors</span></tt></td>
<td></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">neighbors.NeighborsBarycenter</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">ball_tree.BallTree</span></tt></td>
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</table>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">ball_tree.knn_brute</span></tt></td>
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<div class="section" id="gaussian-mixture-models">
<h2>6.6. Gaussian Mixture Models<a class="headerlink" href="#gaussian-mixture-models" title="Permalink to this headline">¶</a></h2>
<table border="1" class="docutils">
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">mixture.GMM</span></tt></td>
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<div class="section" id="hidden-markov-models">
<h2>6.7. Hidden Markov Models<a class="headerlink" href="#hidden-markov-models" title="Permalink to this headline">¶</a></h2>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">hmm.GaussianHMM</span></tt></td>
<td></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">hmm.MultinomialHMM</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">hmm.GMMHMM</span></tt></td>
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</div>
<div class="section" id="clustering">
<h2>6.8. Clustering<a class="headerlink" href="#clustering" title="Permalink to this headline">¶</a></h2>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">cluster.KMeans</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">cluster.MeanShift</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">cluster.SpectralClustering</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">cluster.AffinityPropagation</span></tt></td>
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<div class="section" id="covariance-estimators">
<h2>6.9. Covariance Estimators<a class="headerlink" href="#covariance-estimators" title="Permalink to this headline">¶</a></h2>
<table border="1" class="docutils">
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">covariance.Covariance</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">covariance.ShrunkCovariance</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">covariance.LedoitWolf</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">covariance.ledoit_wolf</span></tt></td>
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<div class="section" id="signal-decomposition">
<h2>6.10. Signal Decomposition<a class="headerlink" href="#signal-decomposition" title="Permalink to this headline">¶</a></h2>
<table border="1" class="docutils">
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">pca.PCA</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">pca.ProbabilisticPCA</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">fastica.FastICA</span></tt></td>
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</table>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">fastica.fastica</span></tt></td>
<td></td>
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<div class="section" id="cross-validation">
<h2>6.11. Cross Validation<a class="headerlink" href="#cross-validation" title="Permalink to this headline">¶</a></h2>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">cross_val.LeaveOneOut</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">cross_val.LeavePOut</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">cross_val.KFold</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">cross_val.StratifiedKFold</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">cross_val.LeaveOneLabelOut</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">cross_val.LeavePLabelOut</span></tt></td>
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<div class="section" id="grid-search">
<h2>6.12. Grid Search<a class="headerlink" href="#grid-search" title="Permalink to this headline">¶</a></h2>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">grid_search.GridSearchCV</span></tt></td>
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<div class="section" id="feature-selection">
<span id="feature-selection-ref"></span><h2>6.13. Feature Selection<a class="headerlink" href="#feature-selection" title="Permalink to this headline">¶</a></h2>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">feature_selection.rfe.RFE</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">feature_selection.rfe.RFECV</span></tt></td>
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<div class="section" id="feature-extraction">
<span id="feature-extraction-ref"></span><h2>6.14. Feature Extraction<a class="headerlink" href="#feature-extraction" title="Permalink to this headline">¶</a></h2>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">feature_extraction.image.img_to_graph</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">feature_extraction.text.RomanPreprocessor</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">feature_extraction.text.WordNGramAnalyzer</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">feature_extraction.text.CharNGramAnalyzer</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">feature_extraction.text.CountVectorizer</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">feature_extraction.text.TfidfTransformer</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">feature_extraction.text.Vectorizer</span></tt></td>
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<div class="section" id="id2">
<h3>6.14.1. For sparse data<a class="headerlink" href="#id2" title="Permalink to this headline">¶</a></h3>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">feature_extraction.text.sparse.TfidfTransformer</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">feature_extraction.text.sparse.CountVectorizer</span></tt></td>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">feature_extraction.text.sparse.Vectorizer</span></tt></td>
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<div class="section" id="pipeline">
<h2>6.15. Pipeline<a class="headerlink" href="#pipeline" title="Permalink to this headline">¶</a></h2>
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<tr><td><tt class="xref py py-obj docutils literal"><span class="pre">pipeline.Pipeline</span></tt></td>
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