0.5.0
Using mvlearn
Overview of mvlearn
Install
pip installation instructions
conda installation instructions
Including optional dependencies for full functionality
Python package dependencies
Hardware requirements
OS Requirements
Testing
Examples Gallery
Examples on cluster
Multiview Coregularized Spectral Clustering Comparison
Multiview Spherical KMeans Tutorial
Multiview KMeans Tutorial
Multiview vs. Singleview Spectral Clustering of UCI Multiview Digits
Multiview vs. Singleview KMeans
Multiview Spectral Clustering Tutorial
Multiview vs. Singleview Spectral Clustering
Conditional Independence of Views on Multiview Spectral Clustering
Conditional Independence of Views on Multiview KMeans Clustering
Examples on compose
Constructing multiple views to classify singleview data
Integrating mvlearn with scikit-learn
Examples on datasets
Loading and Viewing the UCI Multiple Features Dataset
Generating Multiview Data from Gaussian Mixtures
An mvlearn case study: the Nutrimouse dataset
Examples on decomposition
ICA: a tutorial
Multiview Independent Component Analysis (ICA) Comparison
Angle-based Joint and Individual Variation Explained (AJIVE)
Examples on embed
Generalized Canonical Correlation Analysis (GCCA) Tutorial
CCA Tutorial
Deep CCA (DCCA) Tutorial
Partial Gram-Schmidt Orthogonalization (PGSO) for KMCCA
Multidimensional Scaling (MVMDS) Tutorial
Comparing CCA Variants
Kernel MCCA (KMCCA) Tutorial
Examples on plotting
Quickly Visualizing Multiview Data
Plotting Multiview Data with a Cross-view Plot
Examples on semi_supervised
2-View Semi-Supervised Regression
2-View Semi-Supervised Classification
Reference
Embedding
Canonical Correlation Analysis (CCA)
Multiview Canonical Correlation Analysis (MCCA)
Kernel MCCA
Generalized Canonical Correlation Analysis (GCCA)
Deep Canonical Correlation Analysis (DCCA)
Multiview Multidimensional Scaling
Split Autoencoder
DCCA Utilities
Dimension Selection
Decomposition
Multiview ICA
Group ICA
Group PCA
Angle-Based Joint and Individual Variation Explained (AJIVE)
Clustering
Multiview Spectral Clustering
Co-Regularized Multiview Spectral Clustering
Multiview K Means
Multiview Spherical K Means
Semi-Supervised
Cotraining Classifier
Cotraining Regressor
Model Selection
Cross Validation
Train-Test Split
Compose
AverageMerger
ConcatMerger
RandomGaussianProjection
RandomSubspaceMethod
SimpleSplitter
ViewClassifier
ViewTransformer
Multiview Datasets
UCI multiple feature dataset
Nutrimouse dataset
Data Simulator
Factor Model
Plotting
Quick Visualize
Crossviews Plot
Utility Functions
IO
Developer Information
Contributing to mvlearn
Submitting a bug report or a feature request
How to make a good bug report
Contributing Code
Pull Request Checklist
Guidelines
Coding Guidelines
Docstring Guidelines
API of mvlearn Objects
Estimators
Additional Functionality
Changelog
Version 0.5.0
Version 0.4.1
Version 0.4.0
mvlearn.compose
mvlearn.construct
mvlearn.decomposition
mvlearn.embed
mvlearn.model_selection
mvlearn.utils
Version 0.3.0
Patch 0.2.1
Version 0.2.0
Version 0.1.0
License
Useful Links
mvlearn @ GitHub
mvlearn @ PyPI
Issue Tracker
mvlearn
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Index
Edit on GitHub
Index
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T
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V
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W
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X
A
AJIVE (class in mvlearn.decomposition)
all_joint_svals_ (mvlearn.decomposition.AJIVE attribute)
AverageMerger (class in mvlearn.compose)
B
batch_size_ (mvlearn.embed.DCCA attribute)
C
CCA (class in mvlearn.embed)
cca_loss (class in mvlearn.embed)
centroids_ (mvlearn.cluster.MultiviewKMeans attribute)
(mvlearn.cluster.MultiviewSphericalKMeans attribute)
check_Xs() (in module mvlearn.utils)
check_Xs_y() (in module mvlearn.utils)
check_Xs_y_nan_allowed() (in module mvlearn.utils)
class_name_ (mvlearn.semi_supervised.CTClassifier attribute)
(mvlearn.semi_supervised.CTRegressor attribute)
classes_ (mvlearn.semi_supervised.CTClassifier attribute)
common_score_norms_ (mvlearn.embed.CCA attribute)
(mvlearn.embed.KMCCA attribute)
(mvlearn.embed.MCCA attribute)
components_ (mvlearn.decomposition.GroupICA attribute)
(mvlearn.decomposition.GroupPCA attribute)
(mvlearn.decomposition.MultiviewICA attribute)
(mvlearn.embed.MVMDS attribute)
ConcatMerger (class in mvlearn.compose)
cross_validate() (in module mvlearn.model_selection)
crossviews_plot() (in module mvlearn.plotting)
CTClassifier (class in mvlearn.semi_supervised)
CTRegressor (class in mvlearn.semi_supervised)
D
DCCA (class in mvlearn.embed)
deep_model_ (mvlearn.embed.DCCA attribute)
DeepPairedNetworks (class in mvlearn.embed)
device_ (mvlearn.embed.cca_loss attribute)
(mvlearn.embed.DCCA attribute)
dual_vars_ (mvlearn.embed.KMCCA attribute)
E
embedding_ (mvlearn.cluster.MultiviewCoRegSpectralClustering attribute)
(mvlearn.cluster.MultiviewSpectralClustering attribute)
estimator1_ (mvlearn.semi_supervised.CTClassifier attribute)
(mvlearn.semi_supervised.CTRegressor attribute)
estimator2_ (mvlearn.semi_supervised.CTClassifier attribute)
(mvlearn.semi_supervised.CTRegressor attribute)
estimators_ (mvlearn.compose.ViewClassifier attribute)
(mvlearn.compose.ViewTransformer attribute)
evals_ (mvlearn.embed.CCA attribute)
(mvlearn.embed.KMCCA attribute)
(mvlearn.embed.MCCA attribute)
explained_variance_ (mvlearn.decomposition.GroupPCA attribute)
explained_variance_ratio_ (mvlearn.decomposition.GroupPCA attribute)
G
GaussianRandomProjections_ (mvlearn.compose.RandomGaussianProjection attribute)
GCCA (class in mvlearn.embed)
GroupICA (class in mvlearn.decomposition)
GroupPCA (class in mvlearn.decomposition)
grouppca_ (mvlearn.decomposition.GroupICA attribute)
I
individual_components_ (mvlearn.decomposition.GroupICA attribute)
(mvlearn.decomposition.GroupPCA attribute)
(mvlearn.decomposition.MultiviewICA attribute)
individual_embeddings_ (mvlearn.decomposition.GroupPCA attribute)
individual_explained_variance_ (mvlearn.decomposition.GroupPCA attribute)
individual_explained_variance_ratio_ (mvlearn.decomposition.GroupPCA attribute)
individual_loadings_ (mvlearn.decomposition.AJIVE attribute)
individual_mats_ (mvlearn.decomposition.AJIVE attribute)
individual_mean_ (mvlearn.decomposition.GroupPCA attribute)
individual_mixing_ (mvlearn.decomposition.GroupICA attribute)
(mvlearn.decomposition.MultiviewICA attribute)
individual_projections_ (mvlearn.decomposition.GroupPCA attribute)
individual_ranks_ (mvlearn.decomposition.AJIVE attribute)
individual_scores_ (mvlearn.decomposition.AJIVE attribute)
init_signal_ranks_ (mvlearn.decomposition.AJIVE attribute)
input_size1_ (mvlearn.embed.DCCA attribute)
input_size2_ (mvlearn.embed.DCCA attribute)
J
joint_rank_ (mvlearn.decomposition.AJIVE attribute)
joint_rank_wedin_est_ (mvlearn.decomposition.AJIVE attribute)
joints_scores_ (mvlearn.decomposition.AJIVE attribute)
K
k_neighbors_ (mvlearn.semi_supervised.CTRegressor attribute)
kernel_col_means_ (mvlearn.embed.KMCCA attribute)
kernel_mat_means_ (mvlearn.embed.KMCCA attribute)
KMCCA (class in mvlearn.embed)
L
labels_ (mvlearn.cluster.MultiviewCoRegSpectralClustering attribute)
(mvlearn.cluster.MultiviewKMeans attribute)
(mvlearn.cluster.MultiviewSpectralClustering attribute)
(mvlearn.cluster.MultiviewSphericalKMeans attribute)
layer_sizes1_ (mvlearn.embed.DCCA attribute)
layer_sizes2_ (mvlearn.embed.DCCA attribute)
layers_ (mvlearn.embed.MlpNet attribute)
learning_rate_ (mvlearn.embed.DCCA attribute)
linear_cca (class in mvlearn.embed)
linear_cca_ (mvlearn.embed.DCCA attribute)
load_nutrimouse() (in module mvlearn.datasets)
load_UCImultifeature() (in module mvlearn.datasets)
loadings_ (mvlearn.embed.CCA attribute)
(mvlearn.embed.MCCA attribute)
loss_ (mvlearn.embed.DCCA attribute)
(mvlearn.embed.DeepPairedNetworks attribute)
M
m_ (mvlearn.embed.linear_cca attribute)
make_gaussian_mixture() (in module mvlearn.datasets)
MCCA (class in mvlearn.embed)
means_ (mvlearn.decomposition.AJIVE attribute)
(mvlearn.decomposition.GroupICA attribute)
(mvlearn.embed.CCA attribute)
(mvlearn.embed.MCCA attribute)
mixing_ (mvlearn.decomposition.GroupICA attribute)
(mvlearn.decomposition.MultiviewICA attribute)
MlpNet (class in mvlearn.embed)
model1_ (mvlearn.embed.DeepPairedNetworks attribute)
model2_ (mvlearn.embed.DeepPairedNetworks attribute)
model_ (mvlearn.embed.DCCA attribute)
MultiviewCoRegSpectralClustering (class in mvlearn.cluster)
MultiviewICA (class in mvlearn.decomposition)
MultiviewKMeans (class in mvlearn.cluster)
MultiviewSpectralClustering (class in mvlearn.cluster)
MultiviewSphericalKMeans (class in mvlearn.cluster)
MVMDS (class in mvlearn.embed)
N
n_ (mvlearn.semi_supervised.CTClassifier attribute)
n_components_ (mvlearn.decomposition.GroupICA attribute)
(mvlearn.decomposition.GroupPCA attribute)
(mvlearn.embed.CCA attribute)
(mvlearn.embed.cca_loss attribute)
(mvlearn.embed.DCCA attribute)
(mvlearn.embed.KMCCA attribute)
(mvlearn.embed.MCCA attribute)
n_feature_ (mvlearn.compose.AverageMerger attribute)
n_features_ (mvlearn.compose.ConcatMerger attribute)
(mvlearn.compose.RandomSubspaceMethod attribute)
(mvlearn.decomposition.GroupICA attribute)
(mvlearn.decomposition.GroupPCA attribute)
(mvlearn.embed.CCA attribute)
(mvlearn.embed.KMCCA attribute)
(mvlearn.embed.MCCA attribute)
n_samples_ (mvlearn.decomposition.GroupICA attribute)
(mvlearn.decomposition.GroupPCA attribute)
n_total_features_ (mvlearn.compose.ConcatMerger attribute)
(mvlearn.compose.SimpleSplitter attribute)
n_views (mvlearn.semi_supervised.CTRegressor attribute)
n_views_ (mvlearn.compose.AverageMerger attribute)
(mvlearn.compose.ConcatMerger attribute)
(mvlearn.compose.SimpleSplitter attribute)
(mvlearn.compose.ViewClassifier attribute)
(mvlearn.compose.ViewTransformer attribute)
(mvlearn.decomposition.GroupICA attribute)
(mvlearn.decomposition.GroupPCA attribute)
(mvlearn.embed.CCA attribute)
(mvlearn.embed.KMCCA attribute)
(mvlearn.embed.MCCA attribute)
num_iter (mvlearn.semi_supervised.CTRegressor attribute)
O
objective_ (mvlearn.cluster.MultiviewCoRegSpectralClustering attribute)
optimizer_ (mvlearn.embed.DCCA attribute)
P
p_ (mvlearn.semi_supervised.CTClassifier attribute)
pca_components_ (mvlearn.decomposition.MultiviewICA attribute)
pcas_ (mvlearn.decomposition.MultiviewICA attribute)
pgso_idxs_ (mvlearn.embed.KMCCA attribute)
pgso_Ls_ (mvlearn.embed.KMCCA attribute)
pgso_norms_ (mvlearn.embed.KMCCA attribute)
pgso_ranks_ (mvlearn.embed.KMCCA attribute)
pgso_Xs_ (mvlearn.embed.KMCCA attribute)
projection_mats_ (mvlearn.embed.GCCA attribute)
Q
quick_visualize() (in module mvlearn.plotting)
R
rand_cutoff_ (mvlearn.decomposition.AJIVE attribute)
random_sv_samples_ (mvlearn.decomposition.AJIVE attribute)
RandomGaussianProjection (class in mvlearn.compose)
RandomSubspaceMethod (class in mvlearn.compose)
ranks_ (mvlearn.embed.GCCA attribute)
reg_par_ (mvlearn.embed.DCCA attribute)
S
sample_joint_factor_model() (in module mvlearn.datasets)
select_dimension() (in module mvlearn.embed)
SimpleSplitter (class in mvlearn.compose)
SplitAE (class in mvlearn.embed)
subspace_dim_ (mvlearn.compose.RandomSubspaceMethod attribute)
subspace_indices_ (mvlearn.compose.RandomSubspaceMethod attribute)
sv_thresholds_ (mvlearn.decomposition.AJIVE attribute)
svalsq_cutoff_ (mvlearn.decomposition.AJIVE attribute)
T
train_test_split() (in module mvlearn.model_selection)
U
unlabeled_pool_size (mvlearn.semi_supervised.CTRegressor attribute)
use_all_singular_values_ (mvlearn.embed.cca_loss attribute)
V
view1_decoder_ (mvlearn.embed.SplitAE attribute)
view1_encoder_ (mvlearn.embed.SplitAE attribute)
view2_decoder_ (mvlearn.embed.SplitAE attribute)
ViewClassifier (class in mvlearn.compose)
ViewTransformer (class in mvlearn.compose)
W
w_ (mvlearn.embed.linear_cca attribute)
wedin_cutoff_ (mvlearn.decomposition.AJIVE attribute)
wedin_samples_ (mvlearn.decomposition.AJIVE attribute)
X
Xs_ (mvlearn.embed.KMCCA attribute)