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<!DOCTYPE html>
<html class="writer-html5" lang="en" >
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<title>Index — mvlearn alpha documentation</title>
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<p class="caption" role="heading"><span class="caption-text">Using mvlearn</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="index.html">Overview of mvlearn</a></li>
<li class="toctree-l1"><a class="reference internal" href="install.html">Install</a><ul>
<li class="toctree-l2"><a class="reference internal" href="install.html#pip-installation-instructions">pip installation instructions</a></li>
<li class="toctree-l2"><a class="reference internal" href="install.html#conda-installation-instructions">conda installation instructions</a><ul>
<li class="toctree-l3"><a class="reference internal" href="install.html#including-optional-dependencies-for-full-functionality">Including optional dependencies for full functionality</a></li>
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<li class="toctree-l2"><a class="reference internal" href="install.html#python-package-dependencies">Python package dependencies</a></li>
<li class="toctree-l2"><a class="reference internal" href="install.html#hardware-requirements">Hardware requirements</a></li>
<li class="toctree-l2"><a class="reference internal" href="install.html#os-requirements">OS Requirements</a></li>
<li class="toctree-l2"><a class="reference internal" href="install.html#testing">Testing</a></li>
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<li class="toctree-l1"><a class="reference internal" href="auto_examples/index.html">Examples Gallery</a><ul>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#examples-on-cluster">Examples on cluster</a><ul>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/cluster/plot_mv_coregularized_spectral_tutorial.html">Multiview Coregularized Spectral Clustering Comparison</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/cluster/plot_mv_spherical_kmeans_tutorial.html">Multiview Spherical KMeans Tutorial</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/cluster/plot_mv_kmeans_tutorial.html">Multiview KMeans Tutorial</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/cluster/plot_mv_vs_singleview_spectral.html">Multiview vs. Singleview Spectral Clustering of UCI Multiview Digits</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/cluster/plot_mv_kmeans_validation_simulated.html">Multiview vs. Singleview KMeans</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/cluster/plot_mv_spectral_tutorial.html">Multiview Spectral Clustering Tutorial</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/cluster/plot_mv_spectral_validation_simulated.html">Multiview vs. Singleview Spectral Clustering</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/cluster/plot_mv_spectral_validation_complex.html">Conditional Independence of Views on Multiview Spectral Clustering</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/cluster/plot_mv_kmeans_validation_complex.html">Conditional Independence of Views on Multiview KMeans Clustering</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#examples-on-compose">Examples on compose</a><ul>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/compose/plot_multiview_construction.html">Constructing multiple views to classify singleview data</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/compose/plot_pipeline_sklearn_integration.html">Integrating mvlearn with scikit-learn</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#examples-on-datasets">Examples on datasets</a><ul>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/datasets/plot_load_ucimultifeature.html">Loading and Viewing the UCI Multiple Features Dataset</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/datasets/plot_gaussianmixtures.html">Generating Multiview Data from Gaussian Mixtures</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/datasets/plot_nutrimouse.html">An mvlearn case study: the Nutrimouse dataset</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#examples-on-decomposition">Examples on decomposition</a><ul>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/decomposition/plot_group_ica_tutorial.html">ICA: a tutorial</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/decomposition/plot_mv_ica_tutorial.html">Multiview Independent Component Analysis (ICA) Comparison</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/decomposition/plot_ajive_tutorial.html">Angle-based Joint and Individual Variation Explained (AJIVE)</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#examples-on-embed">Examples on embed</a><ul>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/embed/plot_gcca_tutorial.html">Generalized Canonical Correlation Analysis (GCCA) Tutorial</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/embed/plot_mcca_tutorial.html">CCA Tutorial</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/embed/plot_dcca_tutorial.html">Deep CCA (DCCA) Tutorial</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/embed/plot_kmcca_pgso_tutorial.html">Partial Gram-Schmidt Orthogonalization (PGSO) for KMCCA</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/embed/plot_mvmds_tutorial.html">Multidimensional Scaling (MVMDS) Tutorial</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/embed/plot_cca_comparison.html">Comparing CCA Variants</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/embed/plot_kmcca_tutorial.html">Kernel MCCA (KMCCA) Tutorial</a></li>
</ul>
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<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#examples-on-plotting">Examples on plotting</a><ul>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/plotting/plot_quick_visualize_tutorial.html">Quickly Visualizing Multiview Data</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/plotting/plot_crossviews_plot.html">Plotting Multiview Data with a Cross-view Plot</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#examples-on-semi-supervised">Examples on semi_supervised</a><ul>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/semi_supervised/plot_cotraining_regression.html">2-View Semi-Supervised Regression</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/semi_supervised/plot_cotraining_classification.html">2-View Semi-Supervised Classification</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="references/index.html">Reference</a><ul>
<li class="toctree-l2"><a class="reference internal" href="references/embed.html">Embedding</a><ul>
<li class="toctree-l3"><a class="reference internal" href="references/embed.html#canonical-correlation-analysis-cca">Canonical Correlation Analysis (CCA)</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/embed.html#multiview-canonical-correlation-analysis-mcca">Multiview Canonical Correlation Analysis (MCCA)</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/embed.html#kernel-mcca">Kernel MCCA</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/embed.html#generalized-canonical-correlation-analysis-gcca">Generalized Canonical Correlation Analysis (GCCA)</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/embed.html#deep-canonical-correlation-analysis-dcca">Deep Canonical Correlation Analysis (DCCA)</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/embed.html#multiview-multidimensional-scaling">Multiview Multidimensional Scaling</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/embed.html#split-autoencoder">Split Autoencoder</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/embed.html#dcca-utilities">DCCA Utilities</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/embed.html#dimension-selection">Dimension Selection</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="references/decomposition.html">Decomposition</a><ul>
<li class="toctree-l3"><a class="reference internal" href="references/decomposition.html#multiview-ica">Multiview ICA</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/decomposition.html#group-ica">Group ICA</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/decomposition.html#group-pca">Group PCA</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/decomposition.html#angle-based-joint-and-individual-variation-explained-ajive">Angle-Based Joint and Individual Variation Explained (AJIVE)</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="references/cluster.html">Clustering</a><ul>
<li class="toctree-l3"><a class="reference internal" href="references/cluster.html#multiview-spectral-clustering">Multiview Spectral Clustering</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/cluster.html#co-regularized-multiview-spectral-clustering">Co-Regularized Multiview Spectral Clustering</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/cluster.html#multiview-k-means">Multiview K Means</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/cluster.html#multiview-spherical-k-means">Multiview Spherical K Means</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="references/semi_supervised.html">Semi-Supervised</a><ul>
<li class="toctree-l3"><a class="reference internal" href="references/semi_supervised.html#cotraining-classifier">Cotraining Classifier</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/semi_supervised.html#cotraining-regressor">Cotraining Regressor</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="references/model_selection.html">Model Selection</a><ul>
<li class="toctree-l3"><a class="reference internal" href="references/model_selection.html#cross-validation">Cross Validation</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/model_selection.html#train-test-split">Train-Test Split</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="references/compose.html">Compose</a><ul>
<li class="toctree-l3"><a class="reference internal" href="references/compose.html#averagemerger">AverageMerger</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/compose.html#concatmerger">ConcatMerger</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/compose.html#randomgaussianprojection">RandomGaussianProjection</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/compose.html#randomsubspacemethod">RandomSubspaceMethod</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/compose.html#simplesplitter">SimpleSplitter</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/compose.html#viewclassifier">ViewClassifier</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/compose.html#viewtransformer">ViewTransformer</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="references/datasets.html">Multiview Datasets</a><ul>
<li class="toctree-l3"><a class="reference internal" href="references/datasets.html#uci-multiple-feature-dataset">UCI multiple feature dataset</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/datasets.html#nutrimouse-dataset">Nutrimouse dataset</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/datasets.html#data-simulator">Data Simulator</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/datasets.html#factor-model">Factor Model</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="references/plotting.html">Plotting</a><ul>
<li class="toctree-l3"><a class="reference internal" href="references/plotting.html#quick-visualize">Quick Visualize</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/plotting.html#crossviews-plot">Crossviews Plot</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="references/utils.html">Utility Functions</a><ul>
<li class="toctree-l3"><a class="reference internal" href="references/utils.html#io">IO</a></li>
</ul>
</li>
</ul>
</li>
</ul>
<p class="caption" role="heading"><span class="caption-text">Developer Information</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="contributing.html">Contributing to mvlearn</a><ul>
<li class="toctree-l2"><a class="reference internal" href="contributing.html#submitting-a-bug-report-or-a-feature-request">Submitting a bug report or a feature request</a><ul>
<li class="toctree-l3"><a class="reference internal" href="contributing.html#how-to-make-a-good-bug-report">How to make a good bug report</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="contributing.html#contributing-code">Contributing Code</a><ul>
<li class="toctree-l3"><a class="reference internal" href="contributing.html#pull-request-checklist">Pull Request Checklist</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="contributing.html#guidelines">Guidelines</a><ul>
<li class="toctree-l3"><a class="reference internal" href="contributing.html#coding-guidelines">Coding Guidelines</a></li>
<li class="toctree-l3"><a class="reference internal" href="contributing.html#docstring-guidelines">Docstring Guidelines</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="contributing.html#api-of-mvlearn-objects">API of mvlearn Objects</a><ul>
<li class="toctree-l3"><a class="reference internal" href="contributing.html#estimators">Estimators</a></li>
<li class="toctree-l3"><a class="reference internal" href="contributing.html#additional-functionality">Additional Functionality</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="changelog.html">Changelog</a><ul>
<li class="toctree-l2"><a class="reference internal" href="changelog.html#version-0-5-0">Version 0.5.0</a></li>
<li class="toctree-l2"><a class="reference internal" href="changelog.html#version-0-4-1">Version 0.4.1</a></li>
<li class="toctree-l2"><a class="reference internal" href="changelog.html#version-0-4-0">Version 0.4.0</a><ul>
<li class="toctree-l3"><a class="reference internal" href="changelog.html#id5">mvlearn.compose</a></li>
<li class="toctree-l3"><a class="reference internal" href="changelog.html#id13">mvlearn.construct</a></li>
<li class="toctree-l3"><a class="reference internal" href="changelog.html#id15">mvlearn.decomposition</a></li>
<li class="toctree-l3"><a class="reference internal" href="changelog.html#id17">mvlearn.embed</a></li>
<li class="toctree-l3"><a class="reference internal" href="changelog.html#id21">mvlearn.model_selection</a></li>
<li class="toctree-l3"><a class="reference internal" href="changelog.html#id24">mvlearn.utils</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="changelog.html#version-0-3-0">Version 0.3.0</a></li>
<li class="toctree-l2"><a class="reference internal" href="changelog.html#patch-0-2-1">Patch 0.2.1</a></li>
<li class="toctree-l2"><a class="reference internal" href="changelog.html#version-0-2-0">Version 0.2.0</a></li>
<li class="toctree-l2"><a class="reference internal" href="changelog.html#version-0-1-0">Version 0.1.0</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="license.html">License</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">Useful Links</span></p>
<ul>
<li class="toctree-l1"><a class="reference external" href="https://github.com/mvlearn/mvlearn">mvlearn @ GitHub</a></li>
<li class="toctree-l1"><a class="reference external" href="https://pypi.org/project/mvlearn/">mvlearn @ PyPI</a></li>
<li class="toctree-l1"><a class="reference external" href="https://github.com/mvlearn/mvlearn/issues">Issue Tracker</a></li>
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<div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
<div itemprop="articleBody">
<h1 id="index">Index</h1>
<div class="genindex-jumpbox">
<a href="#A"><strong>A</strong></a>
| <a href="#B"><strong>B</strong></a>
| <a href="#C"><strong>C</strong></a>
| <a href="#D"><strong>D</strong></a>
| <a href="#E"><strong>E</strong></a>
| <a href="#G"><strong>G</strong></a>
| <a href="#I"><strong>I</strong></a>
| <a href="#J"><strong>J</strong></a>
| <a href="#K"><strong>K</strong></a>
| <a href="#L"><strong>L</strong></a>
| <a href="#M"><strong>M</strong></a>
| <a href="#N"><strong>N</strong></a>
| <a href="#O"><strong>O</strong></a>
| <a href="#P"><strong>P</strong></a>
| <a href="#Q"><strong>Q</strong></a>
| <a href="#R"><strong>R</strong></a>
| <a href="#S"><strong>S</strong></a>
| <a href="#T"><strong>T</strong></a>
| <a href="#U"><strong>U</strong></a>
| <a href="#V"><strong>V</strong></a>
| <a href="#W"><strong>W</strong></a>
| <a href="#X"><strong>X</strong></a>
</div>
<h2 id="A">A</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/decomposition.html#mvlearn.decomposition.AJIVE">AJIVE (class in mvlearn.decomposition)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/decomposition.html#mvlearn.decomposition.AJIVE.all_joint_svals_">all_joint_svals_ (mvlearn.decomposition.AJIVE attribute)</a>
</li>
<li><a href="references/compose.html#mvlearn.compose.AverageMerger">AverageMerger (class in mvlearn.compose)</a>
</li>
</ul></td>
</tr></table>
<h2 id="B">B</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/embed.html#mvlearn.embed.DCCA.batch_size_">batch_size_ (mvlearn.embed.DCCA attribute)</a>
</li>
</ul></td>
</tr></table>
<h2 id="C">C</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/embed.html#mvlearn.embed.CCA">CCA (class in mvlearn.embed)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.cca_loss">cca_loss (class in mvlearn.embed)</a>
</li>
<li><a href="references/cluster.html#mvlearn.cluster.MultiviewKMeans.centroids_">centroids_ (mvlearn.cluster.MultiviewKMeans attribute)</a>
<ul>
<li><a href="references/cluster.html#mvlearn.cluster.MultiviewSphericalKMeans.centroids_">(mvlearn.cluster.MultiviewSphericalKMeans attribute)</a>
</li>
</ul></li>
<li><a href="references/utils.html#mvlearn.utils.check_Xs">check_Xs() (in module mvlearn.utils)</a>
</li>
<li><a href="references/utils.html#mvlearn.utils.check_Xs_y">check_Xs_y() (in module mvlearn.utils)</a>
</li>
<li><a href="references/utils.html#mvlearn.utils.check_Xs_y_nan_allowed">check_Xs_y_nan_allowed() (in module mvlearn.utils)</a>
</li>
<li><a href="references/semi_supervised.html#mvlearn.semi_supervised.CTClassifier.class_name_">class_name_ (mvlearn.semi_supervised.CTClassifier attribute)</a>
<ul>
<li><a href="references/semi_supervised.html#mvlearn.semi_supervised.CTRegressor.class_name_">(mvlearn.semi_supervised.CTRegressor attribute)</a>
</li>
</ul></li>
<li><a href="references/semi_supervised.html#mvlearn.semi_supervised.CTClassifier.classes_">classes_ (mvlearn.semi_supervised.CTClassifier attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.CCA.common_score_norms_">common_score_norms_ (mvlearn.embed.CCA attribute)</a>
<ul>
<li><a href="references/embed.html#mvlearn.embed.KMCCA.common_score_norms_">(mvlearn.embed.KMCCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.MCCA.common_score_norms_">(mvlearn.embed.MCCA attribute)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupICA.components_">components_ (mvlearn.decomposition.GroupICA attribute)</a>
<ul>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupPCA.components_">(mvlearn.decomposition.GroupPCA attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.MultiviewICA.components_">(mvlearn.decomposition.MultiviewICA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.MVMDS.components_">(mvlearn.embed.MVMDS attribute)</a>
</li>
</ul></li>
<li><a href="references/compose.html#mvlearn.compose.ConcatMerger">ConcatMerger (class in mvlearn.compose)</a>
</li>
<li><a href="references/model_selection.html#mvlearn.model_selection.cross_validate">cross_validate() (in module mvlearn.model_selection)</a>
</li>
<li><a href="references/plotting.html#mvlearn.plotting.crossviews_plot">crossviews_plot() (in module mvlearn.plotting)</a>
</li>
<li><a href="references/semi_supervised.html#mvlearn.semi_supervised.CTClassifier">CTClassifier (class in mvlearn.semi_supervised)</a>
</li>
<li><a href="references/semi_supervised.html#mvlearn.semi_supervised.CTRegressor">CTRegressor (class in mvlearn.semi_supervised)</a>
</li>
</ul></td>
</tr></table>
<h2 id="D">D</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/embed.html#mvlearn.embed.DCCA">DCCA (class in mvlearn.embed)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.DCCA.deep_model_">deep_model_ (mvlearn.embed.DCCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.DeepPairedNetworks">DeepPairedNetworks (class in mvlearn.embed)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/embed.html#mvlearn.embed.cca_loss.device_">device_ (mvlearn.embed.cca_loss attribute)</a>
<ul>
<li><a href="references/embed.html#mvlearn.embed.DCCA.device_">(mvlearn.embed.DCCA attribute)</a>
</li>
</ul></li>
<li><a href="references/embed.html#mvlearn.embed.KMCCA.dual_vars_">dual_vars_ (mvlearn.embed.KMCCA attribute)</a>
</li>
</ul></td>
</tr></table>
<h2 id="E">E</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/cluster.html#mvlearn.cluster.MultiviewCoRegSpectralClustering.embedding_">embedding_ (mvlearn.cluster.MultiviewCoRegSpectralClustering attribute)</a>
<ul>
<li><a href="references/cluster.html#mvlearn.cluster.MultiviewSpectralClustering.embedding_">(mvlearn.cluster.MultiviewSpectralClustering attribute)</a>
</li>
</ul></li>
<li><a href="references/semi_supervised.html#mvlearn.semi_supervised.CTClassifier.estimator1_">estimator1_ (mvlearn.semi_supervised.CTClassifier attribute)</a>
<ul>
<li><a href="references/semi_supervised.html#mvlearn.semi_supervised.CTRegressor.estimator1_">(mvlearn.semi_supervised.CTRegressor attribute)</a>
</li>
</ul></li>
<li><a href="references/semi_supervised.html#mvlearn.semi_supervised.CTClassifier.estimator2_">estimator2_ (mvlearn.semi_supervised.CTClassifier attribute)</a>
<ul>
<li><a href="references/semi_supervised.html#mvlearn.semi_supervised.CTRegressor.estimator2_">(mvlearn.semi_supervised.CTRegressor attribute)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/compose.html#mvlearn.compose.ViewClassifier.estimators_">estimators_ (mvlearn.compose.ViewClassifier attribute)</a>
<ul>
<li><a href="references/compose.html#mvlearn.compose.ViewTransformer.estimators_">(mvlearn.compose.ViewTransformer attribute)</a>
</li>
</ul></li>
<li><a href="references/embed.html#mvlearn.embed.CCA.evals_">evals_ (mvlearn.embed.CCA attribute)</a>
<ul>
<li><a href="references/embed.html#mvlearn.embed.KMCCA.evals_">(mvlearn.embed.KMCCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.MCCA.evals_">(mvlearn.embed.MCCA attribute)</a>
</li>
</ul></li>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupPCA.explained_variance_">explained_variance_ (mvlearn.decomposition.GroupPCA attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupPCA.explained_variance_ratio_">explained_variance_ratio_ (mvlearn.decomposition.GroupPCA attribute)</a>
</li>
</ul></td>
</tr></table>
<h2 id="G">G</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/compose.html#mvlearn.compose.RandomGaussianProjection.GaussianRandomProjections_">GaussianRandomProjections_ (mvlearn.compose.RandomGaussianProjection attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.GCCA">GCCA (class in mvlearn.embed)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupICA">GroupICA (class in mvlearn.decomposition)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupPCA">GroupPCA (class in mvlearn.decomposition)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupICA.grouppca_">grouppca_ (mvlearn.decomposition.GroupICA attribute)</a>
</li>
</ul></td>
</tr></table>
<h2 id="I">I</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupICA.individual_components_">individual_components_ (mvlearn.decomposition.GroupICA attribute)</a>
<ul>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupPCA.individual_components_">(mvlearn.decomposition.GroupPCA attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.MultiviewICA.individual_components_">(mvlearn.decomposition.MultiviewICA attribute)</a>
</li>
</ul></li>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupPCA.individual_embeddings_">individual_embeddings_ (mvlearn.decomposition.GroupPCA attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupPCA.individual_explained_variance_">individual_explained_variance_ (mvlearn.decomposition.GroupPCA attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupPCA.individual_explained_variance_ratio_">individual_explained_variance_ratio_ (mvlearn.decomposition.GroupPCA attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.AJIVE.individual_loadings_">individual_loadings_ (mvlearn.decomposition.AJIVE attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.AJIVE.individual_mats_">individual_mats_ (mvlearn.decomposition.AJIVE attribute)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupPCA.individual_mean_">individual_mean_ (mvlearn.decomposition.GroupPCA attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupICA.individual_mixing_">individual_mixing_ (mvlearn.decomposition.GroupICA attribute)</a>
<ul>
<li><a href="references/decomposition.html#mvlearn.decomposition.MultiviewICA.individual_mixing_">(mvlearn.decomposition.MultiviewICA attribute)</a>
</li>
</ul></li>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupPCA.individual_projections_">individual_projections_ (mvlearn.decomposition.GroupPCA attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.AJIVE.individual_ranks_">individual_ranks_ (mvlearn.decomposition.AJIVE attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.AJIVE.individual_scores_">individual_scores_ (mvlearn.decomposition.AJIVE attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.AJIVE.init_signal_ranks_">init_signal_ranks_ (mvlearn.decomposition.AJIVE attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.DCCA.input_size1_">input_size1_ (mvlearn.embed.DCCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.DCCA.input_size2_">input_size2_ (mvlearn.embed.DCCA attribute)</a>
</li>
</ul></td>
</tr></table>
<h2 id="J">J</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/decomposition.html#mvlearn.decomposition.AJIVE.joint_rank_">joint_rank_ (mvlearn.decomposition.AJIVE attribute)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/decomposition.html#mvlearn.decomposition.AJIVE.joint_rank_wedin_est_">joint_rank_wedin_est_ (mvlearn.decomposition.AJIVE attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.AJIVE.joints_scores_">joints_scores_ (mvlearn.decomposition.AJIVE attribute)</a>
</li>
</ul></td>
</tr></table>
<h2 id="K">K</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/semi_supervised.html#mvlearn.semi_supervised.CTRegressor.k_neighbors_">k_neighbors_ (mvlearn.semi_supervised.CTRegressor attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.KMCCA.kernel_col_means_">kernel_col_means_ (mvlearn.embed.KMCCA attribute)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/embed.html#mvlearn.embed.KMCCA.kernel_mat_means_">kernel_mat_means_ (mvlearn.embed.KMCCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.KMCCA">KMCCA (class in mvlearn.embed)</a>
</li>
</ul></td>
</tr></table>
<h2 id="L">L</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/cluster.html#mvlearn.cluster.MultiviewCoRegSpectralClustering.labels_">labels_ (mvlearn.cluster.MultiviewCoRegSpectralClustering attribute)</a>
<ul>
<li><a href="references/cluster.html#mvlearn.cluster.MultiviewKMeans.labels_">(mvlearn.cluster.MultiviewKMeans attribute)</a>
</li>
<li><a href="references/cluster.html#mvlearn.cluster.MultiviewSpectralClustering.labels_">(mvlearn.cluster.MultiviewSpectralClustering attribute)</a>
</li>
<li><a href="references/cluster.html#mvlearn.cluster.MultiviewSphericalKMeans.labels_">(mvlearn.cluster.MultiviewSphericalKMeans attribute)</a>
</li>
</ul></li>
<li><a href="references/embed.html#mvlearn.embed.DCCA.layer_sizes1_">layer_sizes1_ (mvlearn.embed.DCCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.DCCA.layer_sizes2_">layer_sizes2_ (mvlearn.embed.DCCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.MlpNet.layers_">layers_ (mvlearn.embed.MlpNet attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.DCCA.learning_rate_">learning_rate_ (mvlearn.embed.DCCA attribute)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/embed.html#mvlearn.embed.linear_cca">linear_cca (class in mvlearn.embed)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.DCCA.linear_cca_">linear_cca_ (mvlearn.embed.DCCA attribute)</a>
</li>
<li><a href="references/datasets.html#mvlearn.datasets.load_nutrimouse">load_nutrimouse() (in module mvlearn.datasets)</a>
</li>
<li><a href="references/datasets.html#mvlearn.datasets.load_UCImultifeature">load_UCImultifeature() (in module mvlearn.datasets)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.CCA.loadings_">loadings_ (mvlearn.embed.CCA attribute)</a>
<ul>
<li><a href="references/embed.html#mvlearn.embed.MCCA.loadings_">(mvlearn.embed.MCCA attribute)</a>
</li>
</ul></li>
<li><a href="references/embed.html#mvlearn.embed.DCCA.loss_">loss_ (mvlearn.embed.DCCA attribute)</a>
<ul>
<li><a href="references/embed.html#mvlearn.embed.DeepPairedNetworks.loss_">(mvlearn.embed.DeepPairedNetworks attribute)</a>
</li>
</ul></li>
</ul></td>
</tr></table>
<h2 id="M">M</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/embed.html#mvlearn.embed.linear_cca.m_">m_ (mvlearn.embed.linear_cca attribute)</a>
</li>
<li><a href="references/datasets.html#mvlearn.datasets.make_gaussian_mixture">make_gaussian_mixture() (in module mvlearn.datasets)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.MCCA">MCCA (class in mvlearn.embed)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.AJIVE.means_">means_ (mvlearn.decomposition.AJIVE attribute)</a>
<ul>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupICA.means_">(mvlearn.decomposition.GroupICA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.CCA.means_">(mvlearn.embed.CCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.MCCA.means_">(mvlearn.embed.MCCA attribute)</a>
</li>
</ul></li>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupICA.mixing_">mixing_ (mvlearn.decomposition.GroupICA attribute)</a>
<ul>
<li><a href="references/decomposition.html#mvlearn.decomposition.MultiviewICA.mixing_">(mvlearn.decomposition.MultiviewICA attribute)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/embed.html#mvlearn.embed.MlpNet">MlpNet (class in mvlearn.embed)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.DeepPairedNetworks.model1_">model1_ (mvlearn.embed.DeepPairedNetworks attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.DeepPairedNetworks.model2_">model2_ (mvlearn.embed.DeepPairedNetworks attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.DCCA.model_">model_ (mvlearn.embed.DCCA attribute)</a>
</li>
<li><a href="references/cluster.html#mvlearn.cluster.MultiviewCoRegSpectralClustering">MultiviewCoRegSpectralClustering (class in mvlearn.cluster)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.MultiviewICA">MultiviewICA (class in mvlearn.decomposition)</a>
</li>
<li><a href="references/cluster.html#mvlearn.cluster.MultiviewKMeans">MultiviewKMeans (class in mvlearn.cluster)</a>
</li>
<li><a href="references/cluster.html#mvlearn.cluster.MultiviewSpectralClustering">MultiviewSpectralClustering (class in mvlearn.cluster)</a>
</li>
<li><a href="references/cluster.html#mvlearn.cluster.MultiviewSphericalKMeans">MultiviewSphericalKMeans (class in mvlearn.cluster)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.MVMDS">MVMDS (class in mvlearn.embed)</a>
</li>
</ul></td>
</tr></table>
<h2 id="N">N</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/semi_supervised.html#mvlearn.semi_supervised.CTClassifier.n_">n_ (mvlearn.semi_supervised.CTClassifier attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupICA.n_components_">n_components_ (mvlearn.decomposition.GroupICA attribute)</a>
<ul>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupPCA.n_components_">(mvlearn.decomposition.GroupPCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.CCA.n_components_">(mvlearn.embed.CCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.cca_loss.n_components_">(mvlearn.embed.cca_loss attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.DCCA.n_components_">(mvlearn.embed.DCCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.KMCCA.n_components_">(mvlearn.embed.KMCCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.MCCA.n_components_">(mvlearn.embed.MCCA attribute)</a>
</li>
</ul></li>
<li><a href="references/compose.html#mvlearn.compose.AverageMerger.n_feature_">n_feature_ (mvlearn.compose.AverageMerger attribute)</a>
</li>
<li><a href="references/compose.html#mvlearn.compose.ConcatMerger.n_features_">n_features_ (mvlearn.compose.ConcatMerger attribute)</a>
<ul>
<li><a href="references/compose.html#mvlearn.compose.RandomSubspaceMethod.n_features_">(mvlearn.compose.RandomSubspaceMethod attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupICA.n_features_">(mvlearn.decomposition.GroupICA attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupPCA.n_features_">(mvlearn.decomposition.GroupPCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.CCA.n_features_">(mvlearn.embed.CCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.KMCCA.n_features_">(mvlearn.embed.KMCCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.MCCA.n_features_">(mvlearn.embed.MCCA attribute)</a>
</li>
</ul></li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupICA.n_samples_">n_samples_ (mvlearn.decomposition.GroupICA attribute)</a>
<ul>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupPCA.n_samples_">(mvlearn.decomposition.GroupPCA attribute)</a>
</li>
</ul></li>
<li><a href="references/compose.html#mvlearn.compose.ConcatMerger.n_total_features_">n_total_features_ (mvlearn.compose.ConcatMerger attribute)</a>
<ul>
<li><a href="references/compose.html#mvlearn.compose.SimpleSplitter.n_total_features_">(mvlearn.compose.SimpleSplitter attribute)</a>
</li>
</ul></li>
<li><a href="references/semi_supervised.html#mvlearn.semi_supervised.CTRegressor.n_views">n_views (mvlearn.semi_supervised.CTRegressor attribute)</a>
</li>
<li><a href="references/compose.html#mvlearn.compose.AverageMerger.n_views_">n_views_ (mvlearn.compose.AverageMerger attribute)</a>
<ul>
<li><a href="references/compose.html#mvlearn.compose.ConcatMerger.n_views_">(mvlearn.compose.ConcatMerger attribute)</a>
</li>
<li><a href="references/compose.html#mvlearn.compose.SimpleSplitter.n_views_">(mvlearn.compose.SimpleSplitter attribute)</a>
</li>
<li><a href="references/compose.html#mvlearn.compose.ViewClassifier.n_views_">(mvlearn.compose.ViewClassifier attribute)</a>
</li>
<li><a href="references/compose.html#mvlearn.compose.ViewTransformer.n_views_">(mvlearn.compose.ViewTransformer attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupICA.n_views_">(mvlearn.decomposition.GroupICA attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.GroupPCA.n_views_">(mvlearn.decomposition.GroupPCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.CCA.n_views_">(mvlearn.embed.CCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.KMCCA.n_views_">(mvlearn.embed.KMCCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.MCCA.n_views_">(mvlearn.embed.MCCA attribute)</a>
</li>
</ul></li>
<li><a href="references/semi_supervised.html#mvlearn.semi_supervised.CTRegressor.num_iter">num_iter (mvlearn.semi_supervised.CTRegressor attribute)</a>
</li>
</ul></td>
</tr></table>
<h2 id="O">O</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/cluster.html#mvlearn.cluster.MultiviewCoRegSpectralClustering.objective_">objective_ (mvlearn.cluster.MultiviewCoRegSpectralClustering attribute)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/embed.html#mvlearn.embed.DCCA.optimizer_">optimizer_ (mvlearn.embed.DCCA attribute)</a>
</li>
</ul></td>
</tr></table>
<h2 id="P">P</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/semi_supervised.html#mvlearn.semi_supervised.CTClassifier.p_">p_ (mvlearn.semi_supervised.CTClassifier attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.MultiviewICA.pca_components_">pca_components_ (mvlearn.decomposition.MultiviewICA attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.MultiviewICA.pcas_">pcas_ (mvlearn.decomposition.MultiviewICA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.KMCCA.pgso_idxs_">pgso_idxs_ (mvlearn.embed.KMCCA attribute)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/embed.html#mvlearn.embed.KMCCA.pgso_Ls_">pgso_Ls_ (mvlearn.embed.KMCCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.KMCCA.pgso_norms_">pgso_norms_ (mvlearn.embed.KMCCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.KMCCA.pgso_ranks_">pgso_ranks_ (mvlearn.embed.KMCCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.KMCCA.pgso_Xs_">pgso_Xs_ (mvlearn.embed.KMCCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.GCCA.projection_mats_">projection_mats_ (mvlearn.embed.GCCA attribute)</a>
</li>
</ul></td>
</tr></table>
<h2 id="Q">Q</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/plotting.html#mvlearn.plotting.quick_visualize">quick_visualize() (in module mvlearn.plotting)</a>
</li>
</ul></td>
</tr></table>
<h2 id="R">R</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/decomposition.html#mvlearn.decomposition.AJIVE.rand_cutoff_">rand_cutoff_ (mvlearn.decomposition.AJIVE attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.AJIVE.random_sv_samples_">random_sv_samples_ (mvlearn.decomposition.AJIVE attribute)</a>
</li>
<li><a href="references/compose.html#mvlearn.compose.RandomGaussianProjection">RandomGaussianProjection (class in mvlearn.compose)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/compose.html#mvlearn.compose.RandomSubspaceMethod">RandomSubspaceMethod (class in mvlearn.compose)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.GCCA.ranks_">ranks_ (mvlearn.embed.GCCA attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.DCCA.reg_par_">reg_par_ (mvlearn.embed.DCCA attribute)</a>
</li>
</ul></td>
</tr></table>
<h2 id="S">S</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/datasets.html#mvlearn.datasets.sample_joint_factor_model">sample_joint_factor_model() (in module mvlearn.datasets)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.select_dimension">select_dimension() (in module mvlearn.embed)</a>
</li>
<li><a href="references/compose.html#mvlearn.compose.SimpleSplitter">SimpleSplitter (class in mvlearn.compose)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.SplitAE">SplitAE (class in mvlearn.embed)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/compose.html#mvlearn.compose.RandomSubspaceMethod.subspace_dim_">subspace_dim_ (mvlearn.compose.RandomSubspaceMethod attribute)</a>
</li>
<li><a href="references/compose.html#mvlearn.compose.RandomSubspaceMethod.subspace_indices_">subspace_indices_ (mvlearn.compose.RandomSubspaceMethod attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.AJIVE.sv_thresholds_">sv_thresholds_ (mvlearn.decomposition.AJIVE attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.AJIVE.svalsq_cutoff_">svalsq_cutoff_ (mvlearn.decomposition.AJIVE attribute)</a>
</li>
</ul></td>
</tr></table>
<h2 id="T">T</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/model_selection.html#mvlearn.model_selection.train_test_split">train_test_split() (in module mvlearn.model_selection)</a>
</li>
</ul></td>
</tr></table>
<h2 id="U">U</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/semi_supervised.html#mvlearn.semi_supervised.CTRegressor.unlabeled_pool_size">unlabeled_pool_size (mvlearn.semi_supervised.CTRegressor attribute)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/embed.html#mvlearn.embed.cca_loss.use_all_singular_values_">use_all_singular_values_ (mvlearn.embed.cca_loss attribute)</a>
</li>
</ul></td>
</tr></table>
<h2 id="V">V</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/embed.html#mvlearn.embed.SplitAE.view1_decoder_">view1_decoder_ (mvlearn.embed.SplitAE attribute)</a>
</li>
<li><a href="references/embed.html#mvlearn.embed.SplitAE.view1_encoder_">view1_encoder_ (mvlearn.embed.SplitAE attribute)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/embed.html#mvlearn.embed.SplitAE.view2_decoder_">view2_decoder_ (mvlearn.embed.SplitAE attribute)</a>
</li>
<li><a href="references/compose.html#mvlearn.compose.ViewClassifier">ViewClassifier (class in mvlearn.compose)</a>
</li>
<li><a href="references/compose.html#mvlearn.compose.ViewTransformer">ViewTransformer (class in mvlearn.compose)</a>
</li>
</ul></td>
</tr></table>
<h2 id="W">W</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/embed.html#mvlearn.embed.linear_cca.w_">w_ (mvlearn.embed.linear_cca attribute)</a>
</li>
</ul></td>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/decomposition.html#mvlearn.decomposition.AJIVE.wedin_cutoff_">wedin_cutoff_ (mvlearn.decomposition.AJIVE attribute)</a>
</li>
<li><a href="references/decomposition.html#mvlearn.decomposition.AJIVE.wedin_samples_">wedin_samples_ (mvlearn.decomposition.AJIVE attribute)</a>
</li>
</ul></td>
</tr></table>
<h2 id="X">X</h2>
<table style="width: 100%" class="indextable genindextable"><tr>
<td style="width: 33%; vertical-align: top;"><ul>
<li><a href="references/embed.html#mvlearn.embed.KMCCA.Xs_">Xs_ (mvlearn.embed.KMCCA attribute)</a>
</li>
</ul></td>
</tr></table>
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